notebook.community

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In [1]:



    


library(ReactomePA)
library(org.Sc.sgd.db)
library(clusterProfiler)
library(GOSim)
library(topGO)



    


















    






Loading required package: DOSE

DOSE v3.0.10  For help: https://guangchuangyu.github.io/DOSE

If you use DOSE in published research, please cite:
Guangchuang Yu, Li-Gen Wang, Guang-Rong Yan, Qing-Yu He. DOSE: an R/Bioconductor package for Disease Ontology Semantic and Enrichment analysis. Bioinformatics 2015, 31(4):608-609

ReactomePA v1.18.1  For help: https://guangchuangyu.github.io/ReactomePA

If you use ReactomePA in published research, please cite:
Guangchuang Yu, Qing-Yu He. ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization. Molecular BioSystems 2016, 12(2):477-479
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: ‘BiocGenerics’

The following objects are masked from ‘package:parallel’:

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from ‘package:stats’:

    IQR, mad, xtabs

The following objects are masked from ‘package:base’:

    anyDuplicated, append, as.data.frame, cbind, colnames, do.call,
    duplicated, eval, evalq, Filter, Find, get, grep, grepl, intersect,
    is.unsorted, lapply, lengths, Map, mapply, match, mget, order,
    paste, pmax, pmax.int, pmin, pmin.int, Position, rank, rbind,
    Reduce, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit, which, which.max, which.min

Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: IRanges
Loading required package: S4Vectors

Attaching package: ‘S4Vectors’

The following objects are masked from ‘package:base’:

    colMeans, colSums, expand.grid, rowMeans, rowSums


clusterProfiler v3.2.14  For help: https://guangchuangyu.github.io/clusterProfiler

If you use clusterProfiler in published research, please cite:
Guangchuang Yu., Li-Gen Wang, Yanyan Han, Qing-Yu He. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology. 2012, 16(5):284-287.
Loading required package: GO.db
Loading required package: annotate
Loading required package: XML

Loading required package: graph

Attaching package: ‘graph’

The following object is masked from ‘package:XML’:

    addNode

Loading required package: SparseM

Attaching package: ‘SparseM’

The following object is masked from ‘package:base’:

    backsolve


groupGOTerms: 	GOBPTerm, GOMFTerm, GOCCTerm environments built.

Attaching package: ‘topGO’

The following object is masked from ‘package:IRanges’:

    members


















In [2]:



    


file <- "yeast_reactome"

ont <- "BP"
e_sg <- 0.8
e_en <- 0.3

db <- org.Sc.sgd.db
mapping <- "org.Sc.sgd.db"
ID <- "ENTREZID"

##load all community gene lists
setwd(sprintf("/home/david/Documents/ghsom/hierarchical_exploration_10000/%s_hierarchy_communities_%s_%s", file, e_sg, e_en))
# setwd(sprintf("/home/david/Desktop/%s_hierarchy_communities_%s", file, e_sg))



    











In [3]:



    


generateMap <- function(filename){
    map <- as.matrix(read.csv(filename, sep=",", header = F))
    communities <- map[,1]
    map <- map[,2:ncol(map)]
    rownames(map) <- communities
    colnames(map) <- communities
    return (map)
}

#background gene list
backgroundFilename <- "all_genes.txt"
allGenes <- scan(backgroundFilename, character())

##convert all genes to ENTREZID
conversion <- select(db, allGenes, "ENTREZID", "UNIPROT")
conversion <- subset(conversion, !duplicated(conversion$UNIPROT))
allGenes <- conversion$ENTREZID

#shortest path files
shortestPathFiles  <- list.files(pattern="*shortest_path*")

#shortest paths list
shortestPaths <- sapply(shortestPathFiles, generateMap)
names(shortestPaths) <- sapply(names(shortestPaths), function(name) strsplit(name, "_")[[1]][[1]])

#communitiy assignemtns
assignments <- as.matrix(read.csv("assignment_matrix.csv", sep=",", header=F, row.names=1, colClasses="character"))
assignments[assignments == ""] <- NA 
rownames(assignments) <- allGenes
colnames <- sapply(1:ncol(assignments), function(i) as.character(i - 1))
colnames(assignments) <- colnames
    
#filter out genes with no ENTREZID
assignments <- assignments[!is.na(rownames(assignments)),]
    
#all ORF identifers in org.Sc.sgd.db converted to EntrezID
allGenesInDB <- select(db, keys(db), "ENTREZID", "ORF")$ENTREZID
allGenesInDB <- allGenesInDB[!is.na(allGenesInDB)]
    
#communities detected
communities <- unique(as.character(assignments))
communities <- communities[communities != ""]
communities <- sort(communities)



    


















    






'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns

















In [4]:



    


communities



    


















    







    
	
  1. '01'
    2. 
	
  2. '01-01'
    3. 
	
  3. '01-01-01'
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  4. '01-01-02'
    5. 
	
  5. '01-01-02-01'
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  6. '01-01-02-01-01'
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  7. '01-01-02-01-02'
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  8. '01-01-02-01-03'
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  9. '01-01-02-02'
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  10. '01-01-02-03'
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  11. '01-01-03'
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  12. '01-01-04'
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  13. '01-01-04-01'
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  14. '01-01-04-02'
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  15. '01-01-04-03'
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  16. '01-02'
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  31. '01-02-03'
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  34. '01-02-03-03'
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  35. '01-03'
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  44. '01-03-01-03-05'
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  45. '01-03-01-04'
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  46. '01-03-01-04-01'
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  47. '01-03-01-04-02'
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  48. '01-03-01-04-03'
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  49. '01-03-01-05'
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  50. '01-03-02'
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  51. '01-03-02-01'
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  57. '01-03-03'
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  59. '01-03-03-02'
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  60. '01-03-03-02-01'
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  61. '01-03-03-02-02'
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  62. '01-03-03-02-03'
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  63. '01-03-03-03'
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  64. '01-03-03-03-01'
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  65. '01-03-03-03-02'
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  66. '01-03-03-03-03'
    67. 



















In [5]:



    


length(communities)



    


















    






66
















In [6]:



    


getDepth <- function(com) {
    return(which(apply(assignments, 2, function(i) any(i == com))))
}

getGenes <- function(com){
    depth <- getDepth(com)
    return(names(which(assignments[, depth] == com)))
}

getSubCommunities <- function(com){
    depth <- getDepth(com)
    genesInCommunity <- subset(assignments, assignments[,depth] == com)
    if (depth < ncol(genesInCommunity)){
        return(as.character(unique(genesInCommunity[,depth + 1])))
    } else {
        return (NULL)
    }
    
}
                       
getAllSubCommunities <- function(com){
    
    subCommunities <- getSubCommunities(com)
    if (NA %in% subCommunities){
        return(NULL)
    }
    q <- as.list(subCommunities)
    allSubCommunities <- subCommunities
    
    while (length(q) > 0){
        com <- q[[1]]
        q <- q[-1]
        subCommunities <- getSubCommunities(com)
        if (!NA %in% subCommunities){
            q <- append(q, subCommunities)
            allSubCommunities <- append(allSubCommunities, subCommunities)
        }
    }
    
    return(allSubCommunities)
    
}

getSuperCommunity <- function(com){
    depth <- getDepth(com)
    genesInCommunity <- subset(assignments, assignments[,depth] == com)
    return(as.character(unique(genesInCommunity[,depth - 1])))
}

getShortestPath <- function(com){
    return (try(shortestPaths[[com]]))
}
                       
getNeighbours <- function(com){
    
    superCommunity <- getSuperCommunity(com)
    superCommunityMap <- getShortestPath(superCommunity)
    v <- superCommunityMap[com, ] == 1
    return (names(v[v]))
    
}



    











In [7]:



    


genesInCommunities <- sapply(communities, function(i) getGenes(i))



    











In [8]:



    


allGenes <- allGenes[!is.na(allGenes)]



    











In [9]:



    


enrichmentResultsFile <- "enrichmentResults.rda"
if (!file.exists(enrichmentResultsFile)) {
       enrichmentResults <- sapply(genesInCommunities, 
                            function (genes) enrichPathway(gene = genes, organism = "yeast", minGSSize = 5,  
                                                           pAdjustMethod = "none"))
       names(enrichmentResults) <- communities
       save(enrichmentResults, file=enrichmentResultsFile)
        print("saving")
} else {
       load(enrichmentResultsFile)    
        print("loaded")
}



    


















    






[1] "loaded"

















In [11]:



    


df <- as.data.frame(enrichmentResults[["01"]])



    











In [14]:



    


head(df)



    


















    









IDDescriptionGeneRatioBgRatiopvaluep.adjustqvaluegeneIDCount


	
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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         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                                                                                                                                                318/1145                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1.473125e-09                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      1.473125e-09                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      9.241923e-08                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      851723/856223/851045/854810/851336/852254/852082/856388/855726/851058/853674/850592/850750/856312/851461/856317/852451/856547/854399/853301/853587/856731/854338/852071/851122/855981/856476/854263/851404/855155/852344/856024/854468/850998/851797/852955/855737/853842/850397/850839/850732/850882/851035/853632/856415/852003/854382/854791/853051/856217/856154/854301/852440/852185/852489/856593/855655/851830/856687/855283/855560/853557/854551/854663/856250/855302/854673/852833/853896/852775/854984/851990/855609/855571/855232/850613/855357/852665/854119/855362/856891/856607/854875/853147/852421/853997/854229/852853/853807/850554/851906/850764/856422/850611/855543/852487/851636/850864/855104/854385/856201/853161/851584/852888/852206/852037/852538/856316/854409/851104/852834/850682/852810/854855/856830/854434/852042/854956/852873/851575/854999/850691/850528/850827/851729/853931/852964/853123/855689/854283/854497/851408/854117/852305/855658/854544/852013/851484/851615/856742/856751/854882/852754/852938/852686/855276/856746/855972/854735/852296/854543/854939/856014/850994/854028/851895/856918/852922/855281/854933/854982/855415/855174/852026/856352/854980/854993/855320/853168/853529/851196/856026/854118/853840/851745/853713/855332/852495/850983/853463/851052/855480/854284/856136/853712/855925/852064/852255/851082/851169/856226/854435/853248/854328/853993/851262/850409/856197/856320/851557/855838/852337/852239/854026/850981/853969/856169/855177/855173/856371/856912/854759/852497/855150/856218/854433/855881/852191/850590/853071/852974/850799/853128/850509/853250/853456/855826/853442/853610/856015/856805/854330/852371/853249/850974/854157/853036/854344/852911/853191/852039/856570/851752/852766/851450245                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

	
57194005719400                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           S Phase                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           62/728                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            67/1145                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           2.182500e-08                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      2.182500e-08                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      9.660869e-07                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      856223/854810/851461/856731/852385/852673/855459/852003/855621/850793/850613/854119/855362/856607/853147/850554/856422/850611/850864/852037/855404/855052/852834/856830/852873/851456/851408/854544/856742/854882/850980/856680/853462/854059/854735/852245/856130/853168/856569/852383/852258/856305/854392/854284/853712/853747/853821/854435/854328/851557/851266/852239/853969/853531/854937/856218/854433/853456/853036/852501/854825/855426                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  62                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               





















In [15]:



    


pathways <- df$Description



    











In [16]:



    


genes <- df$geneID



    











In [23]:



    


genes <- sapply(genes, function(i) strsplit(i, "/"))



    











In [27]:



    


genes <- sapply(genes, function(i) select(db, i, "UNIPROT", "ENTREZID")$UNIPROT)
names(genes) <- pathways



    


















    






'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:many mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns
'select()' returned 1:1 mapping between keys and columns

















In [28]:



    


genes



    


















    








	
$`Mitochondrial Protein Import (yeast)`

		
    
	
  1. 'Q3E731'
    2. 
	
  2. 'P07143'
    3. 
	
  3. 'P35180'
    4. 
	
  4. 'P07213'
    5. 
	
  5. 'Q08749'
    6. 
	
  6. 'P00830'
    7. 
	
  7. 'P00424'
    8. 
	
  8. 'P50110'
    9. 
	
  9. 'P61829'
    10. 
	
  10. 'P57744'
    11. 
	
  11. 'P80967'
    12. 
	
  12. 'P36046'
    13. 
	
  13. 'O74700'
    14. 
	
  14. 'P53969'
    15. 
	
  15. 'P04710'
    16. 
	
  16. 'P00890'
    17. 
	
  17. 'P32378'
    18. 
	
  18. 'P87108'
    19. 
	
  19. 'P10507'
    20. 
	
  20. 'P32839'
    21. 
	
  21. 'Q04341'
    22. 
	
  22. 'P32897'
    23. 
	
  23. 'Q07914'
    24. 
	
  24. 'P27882'
    25. 
	
  25. 'P28834'
    26. 
	
  26. 'Q01852'
    27. 
	
  27. 'Q07540'
    28. 
	
  28. 'P07251'
    29. 
	
  29. 'P14693'
    30. 
	
  30. 'P23644'
    31. 
	
  31. 'P36147'
    32. 
	
  32. 'P04840'
    33. 
	
  33. 'Q06510'
    34. 
	
  34. 'P11914'
    35. 
	
  35. 'P53220'
    36. 
	
  36. 'P19882'
    37. 
	
  37. 'Q02776'
    38. 
	
  38. 'O60200'
    39. 
	
  39. 'Q03667'
    40. 
	
  40. 'P32830'
    41. 
	
  41. 'P33448'
    42. 
	
  42. 'Q12328'
    43. 
	
  43. 'P42949'
    44. 
	
  44. 'P00175'
    45. 
	
  45. 'P39515'
    46. 
	
  46. 'P53299'
    47. 
	
  47. 'P47045'
    48. 
	
  48. 'P53507'
    49. 
	
  49. 'P19414'
    50. 
	
  50. 'P04037'
    51. 
	
  51. 'Q12287'
    52. 
	
  52. 'P49334'
    53. 
	
  53. 'P38523'
    54. 
	
  54. 'P23641'
    55. 
	
  55. 'P40202'
    56. 
	
  56. 'P32891'
    57. 
	
  57. 'P53193'
    58. 




	
$`Mitochondrial protein import`

		
    
	
  1. 'Q3E731'
    2. 
	
  2. 'P07143'
    3. 
	
  3. 'P35180'
    4. 
	
  4. 'P07213'
    5. 
	
  5. 'Q08749'
    6. 
	
  6. 'P00830'
    7. 
	
  7. 'P00424'
    8. 
	
  8. 'P50110'
    9. 
	
  9. 'P61829'
    10. 
	
  10. 'P57744'
    11. 
	
  11. 'P80967'
    12. 
	
  12. 'P36046'
    13. 
	
  13. 'O74700'
    14. 
	
  14. 'P53969'
    15. 
	
  15. 'P04710'
    16. 
	
  16. 'P00890'
    17. 
	
  17. 'P32378'
    18. 
	
  18. 'P87108'
    19. 
	
  19. 'P10507'
    20. 
	
  20. 'P32839'
    21. 
	
  21. 'Q04341'
    22. 
	
  22. 'P32897'
    23. 
	
  23. 'Q07914'
    24. 
	
  24. 'P27882'
    25. 
	
  25. 'P28834'
    26. 
	
  26. 'Q01852'
    27. 
	
  27. 'Q07540'
    28. 
	
  28. 'P07251'
    29. 
	
  29. 'P14693'
    30. 
	
  30. 'P23644'
    31. 
	
  31. 'P36147'
    32. 
	
  32. 'P04840'
    33. 
	
  33. 'Q06510'
    34. 
	
  34. 'P11914'
    35. 
	
  35. 'P53220'
    36. 
	
  36. 'P19882'
    37. 
	
  37. 'Q02776'
    38. 
	
  38. 'O60200'
    39. 
	
  39. 'Q03667'
    40. 
	
  40. 'P32830'
    41. 
	
  41. 'P33448'
    42. 
	
  42. 'Q12328'
    43. 
	
  43. 'P42949'
    44. 
	
  44. 'P00175'
    45. 
	
  45. 'P39515'
    46. 
	
  46. 'P53299'
    47. 
	
  47. 'P47045'
    48. 
	
  48. 'P53507'
    49. 
	
  49. 'P19414'
    50. 
	
  50. 'P04037'
    51. 
	
  51. 'Q12287'
    52. 
	
  52. 'P49334'
    53. 
	
  53. 'P38523'
    54. 
	
  54. 'P23641'
    55. 
	
  55. 'P40202'
    56. 
	
  56. 'P32891'
    57. 
	
  57. 'P53193'
    58. 




	
$`Cell Cycle, Mitotic`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'P38170'
    4. 
	
  4. 'Q12377'
    5. 
	
  5. 'P22141'
    6. 
	
  6. 'Q03290'
    7. 
	
  7. 'P32944'
    8. 
	
  8. 'P15873'
    9. 
	
  9. 'P53091'
    10. 
	
  10. 'P21951'
    11. 
	
  11. 'P33298'
    12. 
	
  12. 'Q06156'
    13. 
	
  13. 'P13382'
    14. 
	
  14. 'P15790'
    15. 
	
  15. 'Q08032'
    16. 
	
  16. 'P32496'
    17. 
	
  17. 'P40303'
    18. 
	
  18. 'P40302'
    19. 
	
  19. 'P38886'
    20. 
	
  20. 'P50086'
    21. 
	
  21. 'P38989'
    22. 
	
  22. 'P32943'
    23. 
	
  23. 'P32364'
    24. 
	
  24. 'P43588'
    25. 
	
  25. 'P06785'
    26. 
	
  26. 'P38764'
    27. 
	
  27. 'P30657'
    28. 
	
  28. 'P05759'
    29. 
	
  29. 'P30283'
    30. 
	
  30. 'P24868'
    31. 
	
  31. 'P24869'
    32. 
	
  32. 'Q04062'
    33. 
	
  33. 'P26754'
    34. 
	
  34. 'P23748'
    35. 
	
  35. 'Q01939'
    36. 
	
  36. 'P25451'
    37. 
	
  37. 'P21243'
    38. 
	
  38. 'P07807'
    39. 
	
  39. 'P15436'
    40. 
	
  40. 'Q12250'
    41. 
	
  41. 'P21242'
    42. 
	
  42. 'P40016'
    43. 
	
  43. 'P23639'
    44. 
	
  44. 'P29496'
    45. 
	
  45. 'Q12267'
    46. 
	
  46. 'P24279'
    47. 
	
  47. 'P46957'
    48. 
	
  48. 'P40339'
    49. 
	
  49. 'P32562'
    50. 
	
  50. 'P32565'
    51. 
	
  51. 'Q04410'
    52. 
	
  52. 'P32567'
    53. 
	
  53. 'P09938'
    54. 
	
  54. 'P38121'
    55. 
	
  55. 'P01123'
    56. 
	
  56. 'P30665'
    57. 
	
  57. 'Q06680'
    58. 
	
  58. 'P24871'
    59. 
	
  59. 'P24870'
    60. 
	
  60. 'P32379'
    61. 
	
  61. 'P38859'
    62. 
	
  62. 'P38251'
    63. 
	
  63. 'P29469'
    64. 
	
  64. 'P00546'
    65. 
	
  65. 'P38930'
    66. 
	
  66. 'P24482'
    67. 
	
  67. 'P38630'
    68. 
	
  68. 'P33297'
    69. 
	
  69. 'P37366'
    70. 
	
  70. 'P33299'
    71. 
	
  71. 'P26793'
    72. 
	
  72. 'P20457'
    73. 
	
  73. 'P19454'
    74. 
	
  74. 'Q08723'
    75. 
	
  75. 'P25043'
    76. 
	
  76. 'P40327'
    77. 
	
  77. 'P22336'
    78. 
	
  78. 'P23724'
    79. 
	
  79. 'P0CH08'
    80. 
	
  80. 'P0CH09'
    81. 
	
  81. 'P40348'
    82. 
	
  82. 'P53197'
    83. 
	
  83. 'P43639'
    84. 
	
  84. 'P54784'
    85. 
	
  85. 'P30656'
    86. 
	
  86. 'P53549'
    87. 
	
  87. 'P38624'
    88. 
	
  88. 'P23638'
    89. 
	
  89. 'P38132'
    90. 
	
  90. 'P10363'
    91. 
	
  91. 'P38629'
    92. 
	
  92. 'P06242'
    93. 




	
$`Cell Cycle`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'P32829'
    4. 
	
  4. 'P38170'
    5. 
	
  5. 'Q12377'
    6. 
	
  6. 'P22141'
    7. 
	
  7. 'Q03290'
    8. 
	
  8. 'P32944'
    9. 
	
  9. 'P15873'
    10. 
	
  10. 'P53091'
    11. 
	
  11. 'P29311'
    12. 
	
  12. 'P21951'
    13. 
	
  13. 'P22216'
    14. 
	
  14. 'P33298'
    15. 
	
  15. 'Q06156'
    16. 
	
  16. 'P13382'
    17. 
	
  17. 'P15790'
    18. 
	
  18. 'P46946'
    19. 
	
  19. 'Q08032'
    20. 
	
  20. 'P32496'
    21. 
	
  21. 'P40303'
    22. 
	
  22. 'P40302'
    23. 
	
  23. 'P38886'
    24. 
	
  24. 'P34730'
    25. 
	
  25. 'P50086'
    26. 
	
  26. 'P38989'
    27. 
	
  27. 'P32943'
    28. 
	
  28. 'P32364'
    29. 
	
  29. 'P43588'
    30. 
	
  30. 'P06785'
    31. 
	
  31. 'P38764'
    32. 
	
  32. 'P38147'
    33. 
	
  33. 'P30657'
    34. 
	
  34. 'P05759'
    35. 
	
  35. 'P30283'
    36. 
	
  36. 'P24868'
    37. 
	
  37. 'P24869'
    38. 
	
  38. 'Q04062'
    39. 
	
  39. 'P26754'
    40. 
	
  40. 'P23748'
    41. 
	
  41. 'Q01939'
    42. 
	
  42. 'P25451'
    43. 
	
  43. 'P21243'
    44. 
	
  44. 'P07807'
    45. 
	
  45. 'P15436'
    46. 
	
  46. 'Q12250'
    47. 
	
  47. 'P21242'
    48. 
	
  48. 'P40016'
    49. 
	
  49. 'P23639'
    50. 
	
  50. 'P29496'
    51. 
	
  51. 'Q12267'
    52. 
	
  52. 'P24279'
    53. 
	
  53. 'P46957'
    54. 
	
  54. 'P40339'
    55. 
	
  55. 'P32562'
    56. 
	
  56. 'P32565'
    57. 
	
  57. 'Q04410'
    58. 
	
  58. 'P32567'
    59. 
	
  59. 'P09938'
    60. 
	
  60. 'P38121'
    61. 
	
  61. 'P01123'
    62. 
	
  62. 'P30665'
    63. 
	
  63. 'Q06680'
    64. 
	
  64. 'P24871'
    65. 
	
  65. 'P24870'
    66. 
	
  66. 'P32379'
    67. 
	
  67. 'P38859'
    68. 
	
  68. 'P38251'
    69. 
	
  69. 'P29469'
    70. 
	
  70. 'P00546'
    71. 
	
  71. 'P38930'
    72. 
	
  72. 'P24482'
    73. 
	
  73. 'P38630'
    74. 
	
  74. 'P33297'
    75. 
	
  75. 'P37366'
    76. 
	
  76. 'P33299'
    77. 
	
  77. 'P26793'
    78. 
	
  78. 'P20457'
    79. 
	
  79. 'P19454'
    80. 
	
  80. 'Q08723'
    81. 
	
  81. 'P38110'
    82. 
	
  82. 'P25043'
    83. 
	
  83. 'P40327'
    84. 
	
  84. 'P22336'
    85. 
	
  85. 'P23724'
    86. 
	
  86. 'P0CH08'
    87. 
	
  87. 'P0CH09'
    88. 
	
  88. 'P40348'
    89. 
	
  89. 'P12753'
    90. 
	
  90. 'P53197'
    91. 
	
  91. 'P43639'
    92. 
	
  92. 'P54784'
    93. 
	
  93. 'P33301'
    94. 
	
  94. 'P30656'
    95. 
	
  95. 'P53549'
    96. 
	
  96. 'P38624'
    97. 
	
  97. 'P23638'
    98. 
	
  98. 'P38132'
    99. 
	
  99. 'P10363'
    100. 
	
  100. 'P38629'
    101. 
	
  101. 'P06242'
    102. 




	
$`Gene Expression`

		
    
	
  1. 'Q03761'
    2. 
	
  2. 'Q06103'
    3. 
	
  3. 'P0C0T4'
    4. 
	
  4. 'P40555'
    5. 
	
  5. 'P0CX84'
    6. 
	
  6. 'P0CX85'
    7. 
	
  7. 'P0CX82'
    8. 
	
  8. 'P0CX83'
    9. 
	
  9. 'P0C2H7'
    10. 
	
  10. 'P38754'
    11. 
	
  11. 'P41318'
    12. 
	
  12. 'P05743'
    13. 
	
  13. 'P05740'
    14. 
	
  14. 'P05747'
    15. 
	
  15. 'P05749'
    16. 
	
  16. 'P54999'
    17. 
	
  17. 'Q12377'
    18. 
	
  18. 'P20435'
    19. 
	
  19. 'P20434'
    20. 
	
  20. 'P40422'
    21. 
	
  21. 'P20436'
    22. 
	
  22. 'P20433'
    23. 
	
  23. 'P26783'
    24. 
	
  24. 'P22141'
    25. 
	
  25. 'Q3E7X9'
    26. 
	
  26. 'Q03290'
    27. 
	
  27. 'P0C2H9'
    28. 
	
  28. 'Q02939'
    29. 
	
  29. 'P38798'
    30. 
	
  30. 'P26786'
    31. 
	
  31. 'P25441'
    32. 
	
  32. 'P34160'
    33. 
	
  33. 'P19735'
    34. 
	
  34. 'O13516'
    35. 
	
  35. 'Q08745'
    36. 
	
  36. 'P32502'
    37. 
	
  37. 'P32501'
    38. 
	
  38. 'P32914'
    39. 
	
  39. 'P32910'
    40. 
	
  40. 'P36014'
    41. 
	
  41. 'P06367'
    42. 
	
  42. 'P43321'
    43. 
	
  43. 'P22217'
    44. 
	
  44. 'P49166'
    45. 
	
  45. 'P49167'
    46. 
	
  46. 'P32600'
    47. 
	
  47. 'P38711'
    48. 
	
  48. 'P33298'
    49. 
	
  49. 'P22276'
    50. 
	
  50. 'P16370'
    51. 
	
  51. 'P24000'
    52. 
	
  52. 'P0C0W9'
    53. 
	
  53. 'P38431'
    54. 
	
  54. 'P32324'
    55. 
	
  55. 'P12385'
    56. 
	
  56. 'P38061'
    57. 
	
  57. 'Q02753'
    58. 
	
  58. 'P38873'
    59. 
	
  59. 'P26785'
    60. 
	
  60. 'P23394'
    61. 
	
  61. 'P39990'
    62. 
	
  62. 'P0CX23'
    63. 
	
  63. 'P0CX24'
    64. 
	
  64. 'P0CX27'
    65. 
	
  65. 'P0CX28'
    66. 
	
  66. 'P0CX25'
    67. 
	
  67. 'P0CX26'
    68. 
	
  68. 'P48589'
    69. 
	
  69. 'Q00578'
    70. 
	
  70. 'P0CX29'
    71. 
	
  71. 'P0CX30'
    72. 
	
  72. 'P38912'
    73. 
	
  73. 'P26784'
    74. 
	
  74. 'P39936'
    75. 
	
  75. 'P14741'
    76. 
	
  76. 'P02406'
    77. 
	
  77. 'P02407'
    78. 
	
  78. 'P02400'
    79. 
	
  79. 'P28000'
    80. 
	
  80. 'P17890'
    81. 
	
  81. 'P05745'
    82. 
	
  82. 'P32496'
    83. 
	
  83. 'P32497'
    84. 
	
  84. 'P32558'
    85. 
	
  85. 'P40303'
    86. 
	
  86. 'P40302'
    87. 
	
  87. 'P13393'
    88. 
	
  88. 'P38886'
    89. 
	
  89. 'P11747'
    90. 
	
  90. 'P50086'
    91. 
	
  91. 'P32367'
    92. 
	
  92. 'Q99383'
    93. 
	
  93. 'P14126'
    94. 
	
  94. 'P14120'
    95. 
	
  95. 'P32774'
    96. 
	
  96. 'P43588'
    97. 
	
  97. 'P32776'
    98. 
	
  98. 'P41805'
    99. 
	
  99. 'P38764'
    100. 
	
  100. 'P30657'
    101. 
	
  101. 'P05750'
    102. 
	
  102. 'P05755'
    103. 
	
  103. 'P05756'
    104. 
	
  104. 'P05759'
    105. 
	
  105. 'P30771'
    106. 
	
  106. 'P22139'
    107. 
	
  107. 'P29055'
    108. 
	
  108. 'P29056'
    109. 
	
  109. 'Q12099'
    110. 
	
  110. 'P41896'
    111. 
	
  111. 'P0CX39'
    112. 
	
  112. 'P0CX40'
    113. 
	
  113. 'Q04062'
    114. 
	
  114. 'P32783'
    115. 
	
  115. 'P39933'
    116. 
	
  116. 'P41056'
    117. 
	
  117. 'P41057'
    118. 
	
  118. 'Q01939'
    119. 
	
  119. 'P29453'
    120. 
	
  120. 'P27999'
    121. 
	
  121. 'P40581'
    122. 
	
  122. 'P25451'
    123. 
	
  123. 'P09032'
    124. 
	
  124. 'Q01560'
    125. 
	
  125. 'Q04693'
    126. 
	
  126. 'P21243'
    127. 
	
  127. 'P49626'
    128. 
	
  128. 'P27692'
    129. 
	
  129. 'Q04673'
    130. 
	
  130. 'P40204'
    131. 
	
  131. 'P47977'
    132. 
	
  132. 'P47976'
    133. 
	
  133. 'P0C0V8'
    134. 
	
  134. 'Q02260'
    135. 
	
  135. 'P22803'
    136. 
	
  136. 'P46678'
    137. 
	
  137. 'P04051'
    138. 
	
  138. 'Q99181'
    139. 
	
  139. 'Q12250'
    140. 
	
  140. 'Q01855'
    141. 
	
  141. 'P38217'
    142. 
	
  142. 'P51401'
    143. 
	
  143. 'P21242'
    144. 
	
  144. 'P34087'
    145. 
	
  145. 'P0C2H8'
    146. 
	
  146. 'Q04307'
    147. 
	
  147. 'P40016'
    148. 
	
  148. 'P40018'
    149. 
	
  149. 'P23639'
    150. 
	
  150. 'P25443'
    151. 
	
  151. 'P33339'
    152. 
	
  152. 'P39938'
    153. 
	
  153. 'Q05027'
    154. 
	
  154. 'P32481'
    155. 
	
  155. 'P26321'
    156. 
	
  156. 'P32565'
    157. 
	
  157. 'P00817'
    158. 
	
  158. 'P06103'
    159. 
	
  159. 'P23248'
    160. 
	
  160. 'P41921'
    161. 
	
  161. 'P0CX33'
    162. 
	
  162. 'P0CX34'
    163. 
	
  163. 'P07280'
    164. 
	
  164. 'Q06632'
    165. 
	
  165. 'P06839'
    166. 
	
  166. 'P53221'
    167. 
	
  167. 'Q02554'
    168. 
	
  168. 'Q04636'
    169. 
	
  169. 'P0CX55'
    170. 
	
  170. 'P0CX56'
    171. 
	
  171. 'P0CX49'
    172. 
	
  172. 'P0CX50'
    173. 
	
  173. 'P0CX51'
    174. 
	
  174. 'P0CX52'
    175. 
	
  175. 'P0CX53'
    176. 
	
  176. 'P0CX54'
    177. 
	
  177. 'P17076'
    178. 
	
  178. 'P34760'
    179. 
	
  179. 'Q04226'
    180. 
	
  180. 'Q03254'
    181. 
	
  181. 'P32379'
    182. 
	
  182. 'P35169'
    183. 
	
  183. 'P39730'
    184. 
	
  184. 'Q12672'
    185. 
	
  185. 'P05319'
    186. 
	
  186. 'P36100'
    187. 
	
  187. 'Q12030'
    188. 
	
  188. 'P35718'
    189. 
	
  189. 'P49955'
    190. 
	
  190. 'P12709'
    191. 
	
  191. 'Q06224'
    192. 
	
  192. 'P20459'
    193. 
	
  193. 'P05317'
    194. 
	
  194. 'P11412'
    195. 
	
  195. 'P33297'
    196. 
	
  196. 'P37366'
    197. 
	
  197. 'P33299'
    198. 
	
  198. 'Q08920'
    199. 
	
  199. 'Q04120'
    200. 
	
  200. 'P38203'
    201. 
	
  201. 'Q3E7Y3'
    202. 
	
  202. 'P05739'
    203. 
	
  203. 'P07703'
    204. 
	
  204. 'Q08723'
    205. 
	
  205. 'P39516'
    206. 
	
  206. 'P25043'
    207. 
	
  207. 'P04456'
    208. 
	
  208. 'P34111'
    209. 
	
  209. 'P23255'
    210. 
	
  210. 'Q06819'
    211. 
	
  211. 'P32349'
    212. 
	
  212. 'P40327'
    213. 
	
  213. 'P09064'
    214. 
	
  214. 'P0CX47'
    215. 
	
  215. 'P0CX48'
    216. 
	
  216. 'P23724'
    217. 
	
  217. 'P07260'
    218. 
	
  218. 'Q06217'
    219. 
	
  219. 'P0CH08'
    220. 
	
  220. 'P0CH09'
    221. 
	
  221. 'Q12004'
    222. 
	
  222. 'P40217'
    223. 
	
  223. 'P40212'
    224. 
	
  224. 'P38701'
    225. 
	
  225. 'P04147'
    226. 
	
  226. 'P40525'
    227. 
	
  227. 'P38129'
    228. 
	
  228. 'P54780'
    229. 
	
  229. 'P30656'
    230. 
	
  230. 'P53549'
    231. 
	
  231. 'P0CX43'
    232. 
	
  232. 'P0CX44'
    233. 
	
  233. 'P0CX41'
    234. 
	
  234. 'P0CX42'
    235. 
	
  235. 'P0CX45'
    236. 
	
  236. 'P0CX46'
    237. 
	
  237. 'P39935'
    238. 
	
  238. 'P12754'
    239. 
	
  239. 'P38013'
    240. 
	
  240. 'P32905'
    241. 
	
  241. 'P56628'
    242. 
	
  242. 'P04650'
    243. 
	
  243. 'P38624'
    244. 
	
  244. 'O14455'
    245. 
	
  245. 'P47076'
    246. 
	
  246. 'P0CX35'
    247. 
	
  247. 'P0CX36'
    248. 
	
  248. 'P0CX37'
    249. 
	
  249. 'P0CX38'
    250. 
	
  250. 'P0CX31'
    251. 
	
  251. 'P0CX32'
    252. 
	
  252. 'Q12330'
    253. 
	
  253. 'P38249'
    254. 
	
  254. 'P0C0W1'
    255. 
	
  255. 'Q06151'
    256. 
	
  256. 'P38902'
    257. 
	
  257. 'P23638'
    258. 
	
  258. 'Q12123'
    259. 
	
  259. 'Q3E792'
    260. 
	
  260. 'P46677'
    261. 
	
  261. 'Q04067'
    262. 
	
  262. 'P33334'
    263. 
	
  263. 'P05453'
    264. 
	
  264. 'P53040'
    265. 
	
  265. 'P06242'
    266. 




	
$`S Phase`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P15873'
    6. 
	
  6. 'P53091'
    7. 
	
  7. 'P21951'
    8. 
	
  8. 'P33298'
    9. 
	
  9. 'P13382'
    10. 
	
  10. 'Q08032'
    11. 
	
  11. 'P32496'
    12. 
	
  12. 'P40303'
    13. 
	
  13. 'P40302'
    14. 
	
  14. 'P38886'
    15. 
	
  15. 'P50086'
    16. 
	
  16. 'P43588'
    17. 
	
  17. 'P38764'
    18. 
	
  18. 'P30657'
    19. 
	
  19. 'P05759'
    20. 
	
  20. 'Q04062'
    21. 
	
  21. 'P26754'
    22. 
	
  22. 'P23748'
    23. 
	
  23. 'Q01939'
    24. 
	
  24. 'P25451'
    25. 
	
  25. 'P21243'
    26. 
	
  26. 'P15436'
    27. 
	
  27. 'Q12250'
    28. 
	
  28. 'P21242'
    29. 
	
  29. 'P40016'
    30. 
	
  30. 'P23639'
    31. 
	
  31. 'P29496'
    32. 
	
  32. 'P24279'
    33. 
	
  33. 'P46957'
    34. 
	
  34. 'P40339'
    35. 
	
  35. 'P32565'
    36. 
	
  36. 'P38121'
    37. 
	
  37. 'P30665'
    38. 
	
  38. 'P32379'
    39. 
	
  39. 'P38859'
    40. 
	
  40. 'P38251'
    41. 
	
  41. 'P29469'
    42. 
	
  42. 'P24482'
    43. 
	
  43. 'P38630'
    44. 
	
  44. 'P33297'
    45. 
	
  45. 'P33299'
    46. 
	
  46. 'P26793'
    47. 
	
  47. 'P20457'
    48. 
	
  48. 'Q08723'
    49. 
	
  49. 'P25043'
    50. 
	
  50. 'P40327'
    51. 
	
  51. 'P22336'
    52. 
	
  52. 'P23724'
    53. 
	
  53. 'P0CH08'
    54. 
	
  54. 'P0CH09'
    55. 
	
  55. 'P40348'
    56. 
	
  56. 'P54784'
    57. 
	
  57. 'P30656'
    58. 
	
  58. 'P53549'
    59. 
	
  59. 'P38624'
    60. 
	
  60. 'P23638'
    61. 
	
  61. 'P38132'
    62. 
	
  62. 'P10363'
    63. 
	
  63. 'P38629'
    64. 




	
$Transcription

		
    
	
  1. 'Q03761'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P40422'
    5. 
	
  5. 'P20436'
    6. 
	
  6. 'P20433'
    7. 
	
  7. 'Q03290'
    8. 
	
  8. 'Q02939'
    9. 
	
  9. 'P25441'
    10. 
	
  10. 'P34160'
    11. 
	
  11. 'P32914'
    12. 
	
  12. 'P32910'
    13. 
	
  13. 'P22276'
    14. 
	
  14. 'P16370'
    15. 
	
  15. 'Q00578'
    16. 
	
  16. 'P28000'
    17. 
	
  17. 'P17890'
    18. 
	
  18. 'P32558'
    19. 
	
  19. 'P13393'
    20. 
	
  20. 'P11747'
    21. 
	
  21. 'P32367'
    22. 
	
  22. 'P32774'
    23. 
	
  23. 'P32776'
    24. 
	
  24. 'P22139'
    25. 
	
  25. 'P29055'
    26. 
	
  26. 'P29056'
    27. 
	
  27. 'P41896'
    28. 
	
  28. 'P32783'
    29. 
	
  29. 'P39933'
    30. 
	
  30. 'P27999'
    31. 
	
  31. 'P27692'
    32. 
	
  32. 'Q04673'
    33. 
	
  33. 'P46678'
    34. 
	
  34. 'P04051'
    35. 
	
  35. 'P34087'
    36. 
	
  36. 'Q04307'
    37. 
	
  37. 'P33339'
    38. 
	
  38. 'Q05027'
    39. 
	
  39. 'P06839'
    40. 
	
  40. 'Q04636'
    41. 
	
  41. 'Q04226'
    42. 
	
  42. 'Q03254'
    43. 
	
  43. 'P36100'
    44. 
	
  44. 'Q12030'
    45. 
	
  45. 'P35718'
    46. 
	
  46. 'P37366'
    47. 
	
  47. 'Q08920'
    48. 
	
  48. 'P07703'
    49. 
	
  49. 'P34111'
    50. 
	
  50. 'P23255'
    51. 
	
  51. 'P32349'
    52. 
	
  52. 'Q12004'
    53. 
	
  53. 'P38129'
    54. 
	
  54. 'P47076'
    55. 
	
  55. 'P38902'
    56. 
	
  56. 'P46677'
    57. 
	
  57. 'P53040'
    58. 
	
  58. 'P06242'
    59. 




	
$`Cell Cycle Checkpoints`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P32944'
    6. 
	
  6. 'P29311'
    7. 
	
  7. 'P22216'
    8. 
	
  8. 'P33298'
    9. 
	
  9. 'P32496'
    10. 
	
  10. 'P40303'
    11. 
	
  11. 'P40302'
    12. 
	
  12. 'P38886'
    13. 
	
  13. 'P34730'
    14. 
	
  14. 'P50086'
    15. 
	
  15. 'P32943'
    16. 
	
  16. 'P43588'
    17. 
	
  17. 'P38764'
    18. 
	
  18. 'P38147'
    19. 
	
  19. 'P30657'
    20. 
	
  20. 'P05759'
    21. 
	
  21. 'P30283'
    22. 
	
  22. 'P24868'
    23. 
	
  23. 'P24869'
    24. 
	
  24. 'Q04062'
    25. 
	
  25. 'P23748'
    26. 
	
  26. 'Q01939'
    27. 
	
  27. 'P25451'
    28. 
	
  28. 'P21243'
    29. 
	
  29. 'Q12250'
    30. 
	
  30. 'P21242'
    31. 
	
  31. 'P40016'
    32. 
	
  32. 'P23639'
    33. 
	
  33. 'P32565'
    34. 
	
  34. 'P24871'
    35. 
	
  35. 'P24870'
    36. 
	
  36. 'P32379'
    37. 
	
  37. 'P00546'
    38. 
	
  38. 'P33297'
    39. 
	
  39. 'P33299'
    40. 
	
  40. 'Q08723'
    41. 
	
  41. 'P38110'
    42. 
	
  42. 'P25043'
    43. 
	
  43. 'P40327'
    44. 
	
  44. 'P23724'
    45. 
	
  45. 'P0CH08'
    46. 
	
  46. 'P0CH09'
    47. 
	
  47. 'P30656'
    48. 
	
  48. 'P53549'
    49. 
	
  49. 'P38624'
    50. 
	
  50. 'P23638'
    51. 




	
$`Synthesis of DNA`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P15873'
    6. 
	
  6. 'P53091'
    7. 
	
  7. 'P21951'
    8. 
	
  8. 'P33298'
    9. 
	
  9. 'P13382'
    10. 
	
  10. 'Q08032'
    11. 
	
  11. 'P32496'
    12. 
	
  12. 'P40303'
    13. 
	
  13. 'P40302'
    14. 
	
  14. 'P38886'
    15. 
	
  15. 'P50086'
    16. 
	
  16. 'P43588'
    17. 
	
  17. 'P38764'
    18. 
	
  18. 'P30657'
    19. 
	
  19. 'P05759'
    20. 
	
  20. 'Q04062'
    21. 
	
  21. 'P26754'
    22. 
	
  22. 'Q01939'
    23. 
	
  23. 'P25451'
    24. 
	
  24. 'P21243'
    25. 
	
  25. 'P15436'
    26. 
	
  26. 'Q12250'
    27. 
	
  27. 'P21242'
    28. 
	
  28. 'P40016'
    29. 
	
  29. 'P23639'
    30. 
	
  30. 'P29496'
    31. 
	
  31. 'P24279'
    32. 
	
  32. 'P46957'
    33. 
	
  33. 'P40339'
    34. 
	
  34. 'P32565'
    35. 
	
  35. 'P38121'
    36. 
	
  36. 'P30665'
    37. 
	
  37. 'P32379'
    38. 
	
  38. 'P38859'
    39. 
	
  39. 'P38251'
    40. 
	
  40. 'P29469'
    41. 
	
  41. 'P24482'
    42. 
	
  42. 'P38630'
    43. 
	
  43. 'P33297'
    44. 
	
  44. 'P33299'
    45. 
	
  45. 'P26793'
    46. 
	
  46. 'P20457'
    47. 
	
  47. 'Q08723'
    48. 
	
  48. 'P25043'
    49. 
	
  49. 'P40327'
    50. 
	
  50. 'P22336'
    51. 
	
  51. 'P23724'
    52. 
	
  52. 'P0CH08'
    53. 
	
  53. 'P0CH09'
    54. 
	
  54. 'P40348'
    55. 
	
  55. 'P54784'
    56. 
	
  56. 'P30656'
    57. 
	
  57. 'P53549'
    58. 
	
  58. 'P38624'
    59. 
	
  59. 'P23638'
    60. 
	
  60. 'P38132'
    61. 
	
  61. 'P10363'
    62. 
	
  62. 'P38629'
    63. 




	
$`DNA Replication`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P15873'
    6. 
	
  6. 'P53091'
    7. 
	
  7. 'P21951'
    8. 
	
  8. 'P33298'
    9. 
	
  9. 'P13382'
    10. 
	
  10. 'Q08032'
    11. 
	
  11. 'P32496'
    12. 
	
  12. 'P40303'
    13. 
	
  13. 'P40302'
    14. 
	
  14. 'P38886'
    15. 
	
  15. 'P50086'
    16. 
	
  16. 'P43588'
    17. 
	
  17. 'P38764'
    18. 
	
  18. 'P30657'
    19. 
	
  19. 'P05759'
    20. 
	
  20. 'Q04062'
    21. 
	
  21. 'P26754'
    22. 
	
  22. 'Q01939'
    23. 
	
  23. 'P25451'
    24. 
	
  24. 'P21243'
    25. 
	
  25. 'P15436'
    26. 
	
  26. 'Q12250'
    27. 
	
  27. 'P21242'
    28. 
	
  28. 'P40016'
    29. 
	
  29. 'P23639'
    30. 
	
  30. 'P29496'
    31. 
	
  31. 'P24279'
    32. 
	
  32. 'P46957'
    33. 
	
  33. 'P40339'
    34. 
	
  34. 'P32565'
    35. 
	
  35. 'P38121'
    36. 
	
  36. 'P30665'
    37. 
	
  37. 'P32379'
    38. 
	
  38. 'P38859'
    39. 
	
  39. 'P38251'
    40. 
	
  40. 'P29469'
    41. 
	
  41. 'P24482'
    42. 
	
  42. 'P38630'
    43. 
	
  43. 'P33297'
    44. 
	
  44. 'P33299'
    45. 
	
  45. 'P26793'
    46. 
	
  46. 'P20457'
    47. 
	
  47. 'Q08723'
    48. 
	
  48. 'P25043'
    49. 
	
  49. 'P40327'
    50. 
	
  50. 'P22336'
    51. 
	
  51. 'P23724'
    52. 
	
  52. 'P0CH08'
    53. 
	
  53. 'P0CH09'
    54. 
	
  54. 'P40348'
    55. 
	
  55. 'P54784'
    56. 
	
  56. 'P30656'
    57. 
	
  57. 'P53549'
    58. 
	
  58. 'P38624'
    59. 
	
  59. 'P23638'
    60. 
	
  60. 'P38132'
    61. 
	
  61. 'P10363'
    62. 
	
  62. 'P38629'
    63. 




	
$`DNA Repair`

		
    
	
  1. 'P39875'
    2. 
	
  2. 'P32829'
    3. 
	
  3. 'P20435'
    4. 
	
  4. 'P20434'
    5. 
	
  5. 'P20436'
    6. 
	
  6. 'P20433'
    7. 
	
  7. 'Q03290'
    8. 
	
  8. 'Q02939'
    9. 
	
  9. 'Q12086'
    10. 
	
  10. 'P15873'
    11. 
	
  11. 'P14736'
    12. 
	
  12. 'Q03834'
    13. 
	
  13. 'P07276'
    14. 
	
  14. 'P12689'
    15. 
	
  15. 'P25336'
    16. 
	
  16. 'P16370'
    17. 
	
  17. 'P14284'
    18. 
	
  18. 'Q00578'
    19. 
	
  19. 'P53397'
    20. 
	
  20. 'P25454'
    21. 
	
  21. 'P32776'
    22. 
	
  22. 'P38920'
    23. 
	
  23. 'P05759'
    24. 
	
  24. 'P22139'
    25. 
	
  25. 'P06778'
    26. 
	
  26. 'P06777'
    27. 
	
  27. 'P28519'
    28. 
	
  28. 'P26754'
    29. 
	
  29. 'Q12021'
    30. 
	
  30. 'P27999'
    31. 
	
  31. 'P25847'
    32. 
	
  32. 'Q04673'
    33. 
	
  33. 'P25694'
    34. 
	
  34. 'P34087'
    35. 
	
  35. 'P07273'
    36. 
	
  36. 'Q04048'
    37. 
	
  37. 'P40339'
    38. 
	
  38. 'P06839'
    39. 
	
  39. 'P06838'
    40. 
	
  40. 'P38251'
    41. 
	
  41. 'P33755'
    42. 
	
  42. 'P32628'
    43. 
	
  43. 'P53044'
    44. 
	
  44. 'P38630'
    45. 
	
  45. 'P37366'
    46. 
	
  46. 'P38110'
    47. 
	
  47. 'P31378'
    48. 
	
  48. 'P22336'
    49. 
	
  49. 'Q01477'
    50. 
	
  50. 'P0CH08'
    51. 
	
  51. 'P0CH09'
    52. 
	
  52. 'Q12004'
    53. 
	
  53. 'P40348'
    54. 
	
  54. 'P12753'
    55. 
	
  55. 'P40352'
    56. 
	
  56. 'P12887'
    57. 
	
  57. 'Q08214'
    58. 
	
  58. 'P38902'
    59. 
	
  59. 'P38629'
    60. 
	
  60. 'P14242'
    61. 
	
  61. 'P06242'
    62. 




	
$`Switching of origins to a post-replicative state`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P53091'
    6. 
	
  6. 'P33298'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P30657'
    15. 
	
  15. 'P05759'
    16. 
	
  16. 'Q04062'
    17. 
	
  17. 'Q01939'
    18. 
	
  18. 'P25451'
    19. 
	
  19. 'P21243'
    20. 
	
  20. 'Q12250'
    21. 
	
  21. 'P21242'
    22. 
	
  22. 'P40016'
    23. 
	
  23. 'P23639'
    24. 
	
  24. 'P29496'
    25. 
	
  25. 'P24279'
    26. 
	
  26. 'P32565'
    27. 
	
  27. 'P30665'
    28. 
	
  28. 'P32379'
    29. 
	
  29. 'P29469'
    30. 
	
  30. 'P33297'
    31. 
	
  31. 'P33299'
    32. 
	
  32. 'Q08723'
    33. 
	
  33. 'P25043'
    34. 
	
  34. 'P40327'
    35. 
	
  35. 'P23724'
    36. 
	
  36. 'P0CH08'
    37. 
	
  37. 'P0CH09'
    38. 
	
  38. 'P54784'
    39. 
	
  39. 'P30656'
    40. 
	
  40. 'P53549'
    41. 
	
  41. 'P38624'
    42. 
	
  42. 'P23638'
    43. 
	
  43. 'P38132'
    44. 




	
$`Removal of licensing factors from origins`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P53091'
    6. 
	
  6. 'P33298'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P30657'
    15. 
	
  15. 'P05759'
    16. 
	
  16. 'Q04062'
    17. 
	
  17. 'Q01939'
    18. 
	
  18. 'P25451'
    19. 
	
  19. 'P21243'
    20. 
	
  20. 'Q12250'
    21. 
	
  21. 'P21242'
    22. 
	
  22. 'P40016'
    23. 
	
  23. 'P23639'
    24. 
	
  24. 'P29496'
    25. 
	
  25. 'P24279'
    26. 
	
  26. 'P32565'
    27. 
	
  27. 'P30665'
    28. 
	
  28. 'P32379'
    29. 
	
  29. 'P29469'
    30. 
	
  30. 'P33297'
    31. 
	
  31. 'P33299'
    32. 
	
  32. 'Q08723'
    33. 
	
  33. 'P25043'
    34. 
	
  34. 'P40327'
    35. 
	
  35. 'P23724'
    36. 
	
  36. 'P0CH08'
    37. 
	
  37. 'P0CH09'
    38. 
	
  38. 'P54784'
    39. 
	
  39. 'P30656'
    40. 
	
  40. 'P53549'
    41. 
	
  41. 'P38624'
    42. 
	
  42. 'P23638'
    43. 
	
  43. 'P38132'
    44. 




	
$`Regulation of DNA replication`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P53091'
    6. 
	
  6. 'P33298'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P30657'
    15. 
	
  15. 'P05759'
    16. 
	
  16. 'Q04062'
    17. 
	
  17. 'Q01939'
    18. 
	
  18. 'P25451'
    19. 
	
  19. 'P21243'
    20. 
	
  20. 'Q12250'
    21. 
	
  21. 'P21242'
    22. 
	
  22. 'P40016'
    23. 
	
  23. 'P23639'
    24. 
	
  24. 'P29496'
    25. 
	
  25. 'P24279'
    26. 
	
  26. 'P32565'
    27. 
	
  27. 'P30665'
    28. 
	
  28. 'P32379'
    29. 
	
  29. 'P29469'
    30. 
	
  30. 'P33297'
    31. 
	
  31. 'P33299'
    32. 
	
  32. 'Q08723'
    33. 
	
  33. 'P25043'
    34. 
	
  34. 'P40327'
    35. 
	
  35. 'P23724'
    36. 
	
  36. 'P0CH08'
    37. 
	
  37. 'P0CH09'
    38. 
	
  38. 'P54784'
    39. 
	
  39. 'P30656'
    40. 
	
  40. 'P53549'
    41. 
	
  41. 'P38624'
    42. 
	
  42. 'P23638'
    43. 
	
  43. 'P38132'
    44. 




	
$`p53-Independent DNA Damage Response`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P22216'
    6. 
	
  6. 'P33298'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P38147'
    15. 
	
  15. 'P30657'
    16. 
	
  16. 'P05759'
    17. 
	
  17. 'Q04062'
    18. 
	
  18. 'P23748'
    19. 
	
  19. 'Q01939'
    20. 
	
  20. 'P25451'
    21. 
	
  21. 'P21243'
    22. 
	
  22. 'Q12250'
    23. 
	
  23. 'P21242'
    24. 
	
  24. 'P40016'
    25. 
	
  25. 'P23639'
    26. 
	
  26. 'P32565'
    27. 
	
  27. 'P32379'
    28. 
	
  28. 'P33297'
    29. 
	
  29. 'P33299'
    30. 
	
  30. 'Q08723'
    31. 
	
  31. 'P38110'
    32. 
	
  32. 'P25043'
    33. 
	
  33. 'P40327'
    34. 
	
  34. 'P23724'
    35. 
	
  35. 'P0CH08'
    36. 
	
  36. 'P0CH09'
    37. 
	
  37. 'P30656'
    38. 
	
  38. 'P53549'
    39. 
	
  39. 'P38624'
    40. 
	
  40. 'P23638'
    41. 




	
$`p53-Independent G1/S DNA damage checkpoint`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P22216'
    6. 
	
  6. 'P33298'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P38147'
    15. 
	
  15. 'P30657'
    16. 
	
  16. 'P05759'
    17. 
	
  17. 'Q04062'
    18. 
	
  18. 'P23748'
    19. 
	
  19. 'Q01939'
    20. 
	
  20. 'P25451'
    21. 
	
  21. 'P21243'
    22. 
	
  22. 'Q12250'
    23. 
	
  23. 'P21242'
    24. 
	
  24. 'P40016'
    25. 
	
  25. 'P23639'
    26. 
	
  26. 'P32565'
    27. 
	
  27. 'P32379'
    28. 
	
  28. 'P33297'
    29. 
	
  29. 'P33299'
    30. 
	
  30. 'Q08723'
    31. 
	
  31. 'P38110'
    32. 
	
  32. 'P25043'
    33. 
	
  33. 'P40327'
    34. 
	
  34. 'P23724'
    35. 
	
  35. 'P0CH08'
    36. 
	
  36. 'P0CH09'
    37. 
	
  37. 'P30656'
    38. 
	
  38. 'P53549'
    39. 
	
  39. 'P38624'
    40. 
	
  40. 'P23638'
    41. 




	
$`G1/S DNA Damage Checkpoints`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P22216'
    6. 
	
  6. 'P33298'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P38147'
    15. 
	
  15. 'P30657'
    16. 
	
  16. 'P05759'
    17. 
	
  17. 'Q04062'
    18. 
	
  18. 'P23748'
    19. 
	
  19. 'Q01939'
    20. 
	
  20. 'P25451'
    21. 
	
  21. 'P21243'
    22. 
	
  22. 'Q12250'
    23. 
	
  23. 'P21242'
    24. 
	
  24. 'P40016'
    25. 
	
  25. 'P23639'
    26. 
	
  26. 'P32565'
    27. 
	
  27. 'P32379'
    28. 
	
  28. 'P33297'
    29. 
	
  29. 'P33299'
    30. 
	
  30. 'Q08723'
    31. 
	
  31. 'P38110'
    32. 
	
  32. 'P25043'
    33. 
	
  33. 'P40327'
    34. 
	
  34. 'P23724'
    35. 
	
  35. 'P0CH08'
    36. 
	
  36. 'P0CH09'
    37. 
	
  37. 'P30656'
    38. 
	
  38. 'P53549'
    39. 
	
  39. 'P38624'
    40. 
	
  40. 'P23638'
    41. 




	
$`Ubiquitin Mediated Degradation of Phosphorylated Cdc25A`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P22216'
    6. 
	
  6. 'P33298'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P38147'
    15. 
	
  15. 'P30657'
    16. 
	
  16. 'P05759'
    17. 
	
  17. 'Q04062'
    18. 
	
  18. 'P23748'
    19. 
	
  19. 'Q01939'
    20. 
	
  20. 'P25451'
    21. 
	
  21. 'P21243'
    22. 
	
  22. 'Q12250'
    23. 
	
  23. 'P21242'
    24. 
	
  24. 'P40016'
    25. 
	
  25. 'P23639'
    26. 
	
  26. 'P32565'
    27. 
	
  27. 'P32379'
    28. 
	
  28. 'P33297'
    29. 
	
  29. 'P33299'
    30. 
	
  30. 'Q08723'
    31. 
	
  31. 'P38110'
    32. 
	
  32. 'P25043'
    33. 
	
  33. 'P40327'
    34. 
	
  34. 'P23724'
    35. 
	
  35. 'P0CH08'
    36. 
	
  36. 'P0CH09'
    37. 
	
  37. 'P30656'
    38. 
	
  38. 'P53549'
    39. 
	
  39. 'P38624'
    40. 
	
  40. 'P23638'
    41. 




	
$`Cross-presentation of soluble exogenous antigens (endosomes)`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'P32496'
    7. 
	
  7. 'P40303'
    8. 
	
  8. 'P40302'
    9. 
	
  9. 'P38886'
    10. 
	
  10. 'P50086'
    11. 
	
  11. 'P43588'
    12. 
	
  12. 'P38764'
    13. 
	
  13. 'P30657'
    14. 
	
  14. 'Q04062'
    15. 
	
  15. 'Q01939'
    16. 
	
  16. 'P25451'
    17. 
	
  17. 'P21243'
    18. 
	
  18. 'Q12250'
    19. 
	
  19. 'P21242'
    20. 
	
  20. 'P40016'
    21. 
	
  21. 'P23639'
    22. 
	
  22. 'P32565'
    23. 
	
  23. 'P32379'
    24. 
	
  24. 'P33297'
    25. 
	
  25. 'P33299'
    26. 
	
  26. 'Q08723'
    27. 
	
  27. 'P25043'
    28. 
	
  28. 'P40327'
    29. 
	
  29. 'P23724'
    30. 
	
  30. 'P30656'
    31. 
	
  31. 'P53549'
    32. 
	
  32. 'P38624'
    33. 
	
  33. 'P23638'
    34. 




	
$`Orc1 removal from chromatin`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'P32496'
    7. 
	
  7. 'P40303'
    8. 
	
  8. 'P40302'
    9. 
	
  9. 'P38886'
    10. 
	
  10. 'P50086'
    11. 
	
  11. 'P43588'
    12. 
	
  12. 'P38764'
    13. 
	
  13. 'P30657'
    14. 
	
  14. 'P05759'
    15. 
	
  15. 'Q04062'
    16. 
	
  16. 'Q01939'
    17. 
	
  17. 'P25451'
    18. 
	
  18. 'P21243'
    19. 
	
  19. 'Q12250'
    20. 
	
  20. 'P21242'
    21. 
	
  21. 'P40016'
    22. 
	
  22. 'P23639'
    23. 
	
  23. 'P32565'
    24. 
	
  24. 'P32379'
    25. 
	
  25. 'P33297'
    26. 
	
  26. 'P33299'
    27. 
	
  27. 'Q08723'
    28. 
	
  28. 'P25043'
    29. 
	
  29. 'P40327'
    30. 
	
  30. 'P23724'
    31. 
	
  31. 'P0CH08'
    32. 
	
  32. 'P0CH09'
    33. 
	
  33. 'P54784'
    34. 
	
  34. 'P30656'
    35. 
	
  35. 'P53549'
    36. 
	
  36. 'P38624'
    37. 
	
  37. 'P23638'
    38. 




	
$`Regulation of activated PAK-2p34 by proteasome mediated degradation`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'Q03497'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P30657'
    15. 
	
  15. 'P05759'
    16. 
	
  16. 'Q04062'
    17. 
	
  17. 'Q01939'
    18. 
	
  18. 'P25451'
    19. 
	
  19. 'P21243'
    20. 
	
  20. 'Q12250'
    21. 
	
  21. 'P21242'
    22. 
	
  22. 'P40016'
    23. 
	
  23. 'P23639'
    24. 
	
  24. 'P32565'
    25. 
	
  25. 'P32379'
    26. 
	
  26. 'P33297'
    27. 
	
  27. 'P33299'
    28. 
	
  28. 'Q08723'
    29. 
	
  29. 'P25043'
    30. 
	
  30. 'P40327'
    31. 
	
  31. 'P23724'
    32. 
	
  32. 'P0CH08'
    33. 
	
  33. 'P0CH09'
    34. 
	
  34. 'P30656'
    35. 
	
  35. 'P53549'
    36. 
	
  36. 'P38624'
    37. 
	
  37. 'P23638'
    38. 




	
$`Regulation of Apoptosis`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'Q03497'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P30657'
    15. 
	
  15. 'P05759'
    16. 
	
  16. 'Q04062'
    17. 
	
  17. 'Q01939'
    18. 
	
  18. 'P25451'
    19. 
	
  19. 'P21243'
    20. 
	
  20. 'Q12250'
    21. 
	
  21. 'P21242'
    22. 
	
  22. 'P40016'
    23. 
	
  23. 'P23639'
    24. 
	
  24. 'P32565'
    25. 
	
  25. 'P32379'
    26. 
	
  26. 'P33297'
    27. 
	
  27. 'P33299'
    28. 
	
  28. 'Q08723'
    29. 
	
  29. 'P25043'
    30. 
	
  30. 'P40327'
    31. 
	
  31. 'P23724'
    32. 
	
  32. 'P0CH08'
    33. 
	
  33. 'P0CH09'
    34. 
	
  34. 'P30656'
    35. 
	
  35. 'P53549'
    36. 
	
  36. 'P38624'
    37. 
	
  37. 'P23638'
    38. 




	
$`ER-Phagosome pathway`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'P32496'
    7. 
	
  7. 'P40303'
    8. 
	
  8. 'P40302'
    9. 
	
  9. 'P38886'
    10. 
	
  10. 'P50086'
    11. 
	
  11. 'P43588'
    12. 
	
  12. 'P38764'
    13. 
	
  13. 'P30657'
    14. 
	
  14. 'P05759'
    15. 
	
  15. 'Q04062'
    16. 
	
  16. 'Q01939'
    17. 
	
  17. 'P25451'
    18. 
	
  18. 'P21243'
    19. 
	
  19. 'Q12250'
    20. 
	
  20. 'P21242'
    21. 
	
  21. 'P40016'
    22. 
	
  22. 'P23639'
    23. 
	
  23. 'P32565'
    24. 
	
  24. 'P32379'
    25. 
	
  25. 'P33297'
    26. 
	
  26. 'P33299'
    27. 
	
  27. 'Q08723'
    28. 
	
  28. 'P25043'
    29. 
	
  29. 'P40327'
    30. 
	
  30. 'P23724'
    31. 
	
  31. 'P0CH08'
    32. 
	
  32. 'P0CH09'
    33. 
	
  33. 'P30656'
    34. 
	
  34. 'P53549'
    35. 
	
  35. 'P38624'
    36. 
	
  36. 'P23638'
    37. 




	
$`Antigen processing-Cross presentation`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'P32496'
    7. 
	
  7. 'P40303'
    8. 
	
  8. 'P40302'
    9. 
	
  9. 'P38886'
    10. 
	
  10. 'P50086'
    11. 
	
  11. 'P43588'
    12. 
	
  12. 'P38764'
    13. 
	
  13. 'P30657'
    14. 
	
  14. 'P05759'
    15. 
	
  15. 'Q04062'
    16. 
	
  16. 'Q01939'
    17. 
	
  17. 'P25451'
    18. 
	
  18. 'P21243'
    19. 
	
  19. 'Q12250'
    20. 
	
  20. 'P21242'
    21. 
	
  21. 'P40016'
    22. 
	
  22. 'P23639'
    23. 
	
  23. 'P32565'
    24. 
	
  24. 'P32379'
    25. 
	
  25. 'P33297'
    26. 
	
  26. 'P33299'
    27. 
	
  27. 'Q08723'
    28. 
	
  28. 'P25043'
    29. 
	
  29. 'P40327'
    30. 
	
  30. 'P23724'
    31. 
	
  31. 'P0CH08'
    32. 
	
  32. 'P0CH09'
    33. 
	
  33. 'P30656'
    34. 
	
  34. 'P53549'
    35. 
	
  35. 'P38624'
    36. 
	
  36. 'P23638'
    37. 




	
$`Antigen processing: Ubiquitination & Proteasome degradation`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'P32496'
    7. 
	
  7. 'P40303'
    8. 
	
  8. 'P40302'
    9. 
	
  9. 'P38886'
    10. 
	
  10. 'P50086'
    11. 
	
  11. 'P43588'
    12. 
	
  12. 'P38764'
    13. 
	
  13. 'P30657'
    14. 
	
  14. 'P05759'
    15. 
	
  15. 'Q04062'
    16. 
	
  16. 'Q01939'
    17. 
	
  17. 'P25451'
    18. 
	
  18. 'P21243'
    19. 
	
  19. 'Q12250'
    20. 
	
  20. 'P21242'
    21. 
	
  21. 'P40016'
    22. 
	
  22. 'P23639'
    23. 
	
  23. 'P32565'
    24. 
	
  24. 'P32454'
    25. 
	
  25. 'P32379'
    26. 
	
  26. 'P33297'
    27. 
	
  27. 'P33299'
    28. 
	
  28. 'Q08723'
    29. 
	
  29. 'P25043'
    30. 
	
  30. 'P40327'
    31. 
	
  31. 'P23724'
    32. 
	
  32. 'P0CH08'
    33. 
	
  33. 'P0CH09'
    34. 
	
  34. 'P37898'
    35. 
	
  35. 'P30656'
    36. 
	
  36. 'P53549'
    37. 
	
  37. 'P38624'
    38. 
	
  38. 'P23638'
    39. 




	
$`Class I MHC mediated antigen processing & presentation`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'P32496'
    7. 
	
  7. 'P40303'
    8. 
	
  8. 'P40302'
    9. 
	
  9. 'P38886'
    10. 
	
  10. 'P50086'
    11. 
	
  11. 'P43588'
    12. 
	
  12. 'P38764'
    13. 
	
  13. 'P30657'
    14. 
	
  14. 'P05759'
    15. 
	
  15. 'Q04062'
    16. 
	
  16. 'Q01939'
    17. 
	
  17. 'P25451'
    18. 
	
  18. 'P21243'
    19. 
	
  19. 'Q12250'
    20. 
	
  20. 'P21242'
    21. 
	
  21. 'P40016'
    22. 
	
  22. 'P23639'
    23. 
	
  23. 'P32565'
    24. 
	
  24. 'P32454'
    25. 
	
  25. 'P32379'
    26. 
	
  26. 'P33297'
    27. 
	
  27. 'P33299'
    28. 
	
  28. 'Q08723'
    29. 
	
  29. 'P25043'
    30. 
	
  30. 'P40327'
    31. 
	
  31. 'P23724'
    32. 
	
  32. 'P0CH08'
    33. 
	
  33. 'P0CH09'
    34. 
	
  34. 'P37898'
    35. 
	
  35. 'P30656'
    36. 
	
  36. 'P53549'
    37. 
	
  37. 'P38624'
    38. 
	
  38. 'P23638'
    39. 




	
$`RNA Polymerase III Transcription Initiation From Type 1 Promoter`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P32367'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P29056'
    14. 
	
  14. 'P39933'
    15. 
	
  15. 'P46678'
    16. 
	
  16. 'P04051'
    17. 
	
  17. 'Q04307'
    18. 
	
  18. 'P33339'
    19. 
	
  19. 'P35718'
    20. 
	
  20. 'P07703'
    21. 
	
  21. 'P34111'
    22. 
	
  22. 'P32349'
    23. 
	
  23. 'P47076'
    24. 




	
$`RNA Polymerase III Transcription Initiation`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P32367'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P29056'
    14. 
	
  14. 'P39933'
    15. 
	
  15. 'P46678'
    16. 
	
  16. 'P04051'
    17. 
	
  17. 'Q04307'
    18. 
	
  18. 'P33339'
    19. 
	
  19. 'P35718'
    20. 
	
  20. 'P07703'
    21. 
	
  21. 'P34111'
    22. 
	
  22. 'P32349'
    23. 
	
  23. 'P47076'
    24. 




	
$`RNA Polymerase III Transcription`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P32367'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P29056'
    14. 
	
  14. 'P39933'
    15. 
	
  15. 'P46678'
    16. 
	
  16. 'P04051'
    17. 
	
  17. 'Q04307'
    18. 
	
  18. 'P33339'
    19. 
	
  19. 'P35718'
    20. 
	
  20. 'P07703'
    21. 
	
  21. 'P34111'
    22. 
	
  22. 'P32349'
    23. 
	
  23. 'P47076'
    24. 




	
$`RNA Polymerase I, RNA Polymerase III, and Mitochondrial Transcription`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P32367'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P29056'
    14. 
	
  14. 'P39933'
    15. 
	
  15. 'P46678'
    16. 
	
  16. 'P04051'
    17. 
	
  17. 'Q04307'
    18. 
	
  18. 'P33339'
    19. 
	
  19. 'P35718'
    20. 
	
  20. 'P07703'
    21. 
	
  21. 'P34111'
    22. 
	
  22. 'P32349'
    23. 
	
  23. 'P47076'
    24. 




	
$`RNA Polymerase III Abortive And Retractive Initiation`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P32367'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P29056'
    14. 
	
  14. 'P39933'
    15. 
	
  15. 'P46678'
    16. 
	
  16. 'P04051'
    17. 
	
  17. 'Q04307'
    18. 
	
  18. 'P33339'
    19. 
	
  19. 'P35718'
    20. 
	
  20. 'P07703'
    21. 
	
  21. 'P34111'
    22. 
	
  22. 'P32349'
    23. 
	
  23. 'P47076'
    24. 




	
$`RNA Polymerase III Transcription Initiation From Type 2 Promoter`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P32367'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P29056'
    14. 
	
  14. 'P39933'
    15. 
	
  15. 'P46678'
    16. 
	
  16. 'P04051'
    17. 
	
  17. 'Q04307'
    18. 
	
  18. 'P33339'
    19. 
	
  19. 'P35718'
    20. 
	
  20. 'P07703'
    21. 
	
  21. 'P34111'
    22. 
	
  22. 'P32349'
    23. 
	
  23. 'P47076'
    24. 




	
$`RNA Polymerase III Transcription Initiation From Type 3 Promoter`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P32367'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P29056'
    14. 
	
  14. 'P39933'
    15. 
	
  15. 'P46678'
    16. 
	
  16. 'P04051'
    17. 
	
  17. 'Q04307'
    18. 
	
  18. 'P33339'
    19. 
	
  19. 'P35718'
    20. 
	
  20. 'P07703'
    21. 
	
  21. 'P34111'
    22. 
	
  22. 'P32349'
    23. 
	
  23. 'P47076'
    24. 




	
$`RNA Polymerase III Chain Elongation`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P32367'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P29056'
    14. 
	
  14. 'P39933'
    15. 
	
  15. 'P46678'
    16. 
	
  16. 'P04051'
    17. 
	
  17. 'Q04307'
    18. 
	
  18. 'P33339'
    19. 
	
  19. 'P35718'
    20. 
	
  20. 'P07703'
    21. 
	
  21. 'P34111'
    22. 
	
  22. 'P32349'
    23. 
	
  23. 'P47076'
    24. 




	
$`RNA Polymerase II Transcription`

		
    
	
  1. 'Q03761'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'Q03290'
    7. 
	
  7. 'Q02939'
    8. 
	
  8. 'P34160'
    9. 
	
  9. 'P32914'
    10. 
	
  10. 'P16370'
    11. 
	
  11. 'Q00578'
    12. 
	
  12. 'P32558'
    13. 
	
  13. 'P13393'
    14. 
	
  14. 'P11747'
    15. 
	
  15. 'P32774'
    16. 
	
  16. 'P32776'
    17. 
	
  17. 'P22139'
    18. 
	
  18. 'P29055'
    19. 
	
  19. 'P41896'
    20. 
	
  20. 'P32783'
    21. 
	
  21. 'P27999'
    22. 
	
  22. 'P27692'
    23. 
	
  23. 'Q04673'
    24. 
	
  24. 'P34087'
    25. 
	
  25. 'Q05027'
    26. 
	
  26. 'P06839'
    27. 
	
  27. 'Q04636'
    28. 
	
  28. 'Q04226'
    29. 
	
  29. 'Q03254'
    30. 
	
  30. 'P36100'
    31. 
	
  31. 'Q12030'
    32. 
	
  32. 'P37366'
    33. 
	
  33. 'Q08920'
    34. 
	
  34. 'P23255'
    35. 
	
  35. 'Q12004'
    36. 
	
  36. 'P38129'
    37. 
	
  37. 'P38902'
    38. 
	
  38. 'P46677'
    39. 
	
  39. 'P53040'
    40. 
	
  40. 'P06242'
    41. 




	
$`RNA Polymerase II Pre-transcription Events`

		
    
	
  1. 'Q03761'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'Q03290'
    7. 
	
  7. 'Q02939'
    8. 
	
  8. 'P32914'
    9. 
	
  9. 'P16370'
    10. 
	
  10. 'Q00578'
    11. 
	
  11. 'P32558'
    12. 
	
  12. 'P13393'
    13. 
	
  13. 'P11747'
    14. 
	
  14. 'P32774'
    15. 
	
  15. 'P32776'
    16. 
	
  16. 'P22139'
    17. 
	
  17. 'P29055'
    18. 
	
  18. 'P41896'
    19. 
	
  19. 'P27999'
    20. 
	
  20. 'P27692'
    21. 
	
  21. 'Q04673'
    22. 
	
  22. 'P34087'
    23. 
	
  23. 'Q05027'
    24. 
	
  24. 'P06839'
    25. 
	
  25. 'Q04636'
    26. 
	
  26. 'Q04226'
    27. 
	
  27. 'P36100'
    28. 
	
  28. 'Q12030'
    29. 
	
  29. 'P37366'
    30. 
	
  30. 'P23255'
    31. 
	
  31. 'Q12004'
    32. 
	
  32. 'P38129'
    33. 
	
  33. 'P38902'
    34. 
	
  34. 'P46677'
    35. 
	
  35. 'P53040'
    36. 
	
  36. 'P06242'
    37. 




	
$`Adaptive Immune System`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'Q03407'
    6. 
	
  6. 'P33298'
    7. 
	
  7. 'Q03497'
    8. 
	
  8. 'P04821'
    9. 
	
  9. 'P32496'
    10. 
	
  10. 'P13856'
    11. 
	
  11. 'P40303'
    12. 
	
  12. 'P40302'
    13. 
	
  13. 'P38886'
    14. 
	
  14. 'P19073'
    15. 
	
  15. 'P50086'
    16. 
	
  16. 'P43588'
    17. 
	
  17. 'P38764'
    18. 
	
  18. 'P30657'
    19. 
	
  19. 'P05759'
    20. 
	
  20. 'Q04062'
    21. 
	
  21. 'Q01939'
    22. 
	
  22. 'P25451'
    23. 
	
  23. 'P21243'
    24. 
	
  24. 'Q12250'
    25. 
	
  25. 'P21242'
    26. 
	
  26. 'P40016'
    27. 
	
  27. 'P23639'
    28. 
	
  28. 'P32565'
    29. 
	
  29. 'P32454'
    30. 
	
  30. 'P32379'
    31. 
	
  31. 'P33297'
    32. 
	
  32. 'P33299'
    33. 
	
  33. 'Q08723'
    34. 
	
  34. 'P25043'
    35. 
	
  35. 'P40327'
    36. 
	
  36. 'P23724'
    37. 
	
  37. 'P0CH08'
    38. 
	
  38. 'P0CH09'
    39. 
	
  39. 'P37898'
    40. 
	
  40. 'P30656'
    41. 
	
  41. 'P53549'
    42. 
	
  42. 'Q12236'
    43. 
	
  43. 'P38624'
    44. 
	
  44. 'P23638'
    45. 
	
  45. 'P32383'
    46. 




	
$`RNA Polymerase II Promoter Escape`

		
    
	
  1. 'Q03761'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'Q03290'
    7. 
	
  7. 'Q02939'
    8. 
	
  8. 'P16370'
    9. 
	
  9. 'Q00578'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P11747'
    12. 
	
  12. 'P32774'
    13. 
	
  13. 'P32776'
    14. 
	
  14. 'P22139'
    15. 
	
  15. 'P29055'
    16. 
	
  16. 'P41896'
    17. 
	
  17. 'P27999'
    18. 
	
  18. 'Q04673'
    19. 
	
  19. 'P34087'
    20. 
	
  20. 'Q05027'
    21. 
	
  21. 'P06839'
    22. 
	
  22. 'Q04226'
    23. 
	
  23. 'P36100'
    24. 
	
  24. 'Q12030'
    25. 
	
  25. 'P37366'
    26. 
	
  26. 'P23255'
    27. 
	
  27. 'Q12004'
    28. 
	
  28. 'P38129'
    29. 
	
  29. 'P38902'
    30. 
	
  30. 'P46677'
    31. 
	
  31. 'P53040'
    32. 
	
  32. 'P06242'
    33. 




	
$`RNA Polymerase II Transcription Initiation And Promoter Clearance`

		
    
	
  1. 'Q03761'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'Q03290'
    7. 
	
  7. 'Q02939'
    8. 
	
  8. 'P16370'
    9. 
	
  9. 'Q00578'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P11747'
    12. 
	
  12. 'P32774'
    13. 
	
  13. 'P32776'
    14. 
	
  14. 'P22139'
    15. 
	
  15. 'P29055'
    16. 
	
  16. 'P41896'
    17. 
	
  17. 'P27999'
    18. 
	
  18. 'Q04673'
    19. 
	
  19. 'P34087'
    20. 
	
  20. 'Q05027'
    21. 
	
  21. 'P06839'
    22. 
	
  22. 'Q04226'
    23. 
	
  23. 'P36100'
    24. 
	
  24. 'Q12030'
    25. 
	
  25. 'P37366'
    26. 
	
  26. 'P23255'
    27. 
	
  27. 'Q12004'
    28. 
	
  28. 'P38129'
    29. 
	
  29. 'P38902'
    30. 
	
  30. 'P46677'
    31. 
	
  31. 'P53040'
    32. 
	
  32. 'P06242'
    33. 




	
$`RNA Polymerase II Transcription Initiation`

		
    
	
  1. 'Q03761'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'Q03290'
    7. 
	
  7. 'Q02939'
    8. 
	
  8. 'P16370'
    9. 
	
  9. 'Q00578'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P11747'
    12. 
	
  12. 'P32774'
    13. 
	
  13. 'P32776'
    14. 
	
  14. 'P22139'
    15. 
	
  15. 'P29055'
    16. 
	
  16. 'P41896'
    17. 
	
  17. 'P27999'
    18. 
	
  18. 'Q04673'
    19. 
	
  19. 'P34087'
    20. 
	
  20. 'Q05027'
    21. 
	
  21. 'P06839'
    22. 
	
  22. 'Q04226'
    23. 
	
  23. 'P36100'
    24. 
	
  24. 'Q12030'
    25. 
	
  25. 'P37366'
    26. 
	
  26. 'P23255'
    27. 
	
  27. 'Q12004'
    28. 
	
  28. 'P38129'
    29. 
	
  29. 'P38902'
    30. 
	
  30. 'P46677'
    31. 
	
  31. 'P53040'
    32. 
	
  32. 'P06242'
    33. 




	
$`RNA Polymerase II Transcription Pre-Initiation And Promoter Opening`

		
    
	
  1. 'Q03761'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'Q03290'
    7. 
	
  7. 'Q02939'
    8. 
	
  8. 'P16370'
    9. 
	
  9. 'Q00578'
    10. 
	
  10. 'P13393'
    11. 
	
  11. 'P11747'
    12. 
	
  12. 'P32774'
    13. 
	
  13. 'P32776'
    14. 
	
  14. 'P22139'
    15. 
	
  15. 'P29055'
    16. 
	
  16. 'P41896'
    17. 
	
  17. 'P27999'
    18. 
	
  18. 'Q04673'
    19. 
	
  19. 'P34087'
    20. 
	
  20. 'Q05027'
    21. 
	
  21. 'P06839'
    22. 
	
  22. 'Q04226'
    23. 
	
  23. 'P36100'
    24. 
	
  24. 'Q12030'
    25. 
	
  25. 'P37366'
    26. 
	
  26. 'P23255'
    27. 
	
  27. 'Q12004'
    28. 
	
  28. 'P38129'
    29. 
	
  29. 'P38902'
    30. 
	
  30. 'P46677'
    31. 
	
  31. 'P53040'
    32. 
	
  32. 'P06242'
    33. 




	
$Apoptosis

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'Q03497'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P30657'
    15. 
	
  15. 'P05759'
    16. 
	
  16. 'Q04062'
    17. 
	
  17. 'Q01939'
    18. 
	
  18. 'P25451'
    19. 
	
  19. 'P21243'
    20. 
	
  20. 'Q12250'
    21. 
	
  21. 'P21242'
    22. 
	
  22. 'P40016'
    23. 
	
  23. 'P23639'
    24. 
	
  24. 'P32565'
    25. 
	
  25. 'P32379'
    26. 
	
  26. 'P33297'
    27. 
	
  27. 'P33299'
    28. 
	
  28. 'Q08723'
    29. 
	
  29. 'P25043'
    30. 
	
  30. 'P40327'
    31. 
	
  31. 'P23724'
    32. 
	
  32. 'P0CH08'
    33. 
	
  33. 'P0CH09'
    34. 
	
  34. 'P00044'
    35. 
	
  35. 'P30656'
    36. 
	
  36. 'P53549'
    37. 
	
  37. 'P38624'
    38. 
	
  38. 'P23638'
    39. 
	
  39. 'P00045'
    40. 




	
$`Programmed Cell Death`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'Q03497'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'P43588'
    13. 
	
  13. 'P38764'
    14. 
	
  14. 'P30657'
    15. 
	
  15. 'P05759'
    16. 
	
  16. 'Q04062'
    17. 
	
  17. 'Q01939'
    18. 
	
  18. 'P25451'
    19. 
	
  19. 'P21243'
    20. 
	
  20. 'Q12250'
    21. 
	
  21. 'P21242'
    22. 
	
  22. 'P40016'
    23. 
	
  23. 'P23639'
    24. 
	
  24. 'P32565'
    25. 
	
  25. 'P32379'
    26. 
	
  26. 'P33297'
    27. 
	
  27. 'P33299'
    28. 
	
  28. 'Q08723'
    29. 
	
  29. 'P25043'
    30. 
	
  30. 'P40327'
    31. 
	
  31. 'P23724'
    32. 
	
  32. 'P0CH08'
    33. 
	
  33. 'P0CH09'
    34. 
	
  34. 'P00044'
    35. 
	
  35. 'P30656'
    36. 
	
  36. 'P53549'
    37. 
	
  37. 'P38624'
    38. 
	
  38. 'P23638'
    39. 
	
  39. 'P00045'
    40. 




	
$`Nucleotide Excision Repair`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P20436'
    4. 
	
  4. 'P20433'
    5. 
	
  5. 'Q03290'
    6. 
	
  6. 'Q02939'
    7. 
	
  7. 'P14736'
    8. 
	
  8. 'P07276'
    9. 
	
  9. 'P16370'
    10. 
	
  10. 'Q00578'
    11. 
	
  11. 'P32776'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P06777'
    14. 
	
  14. 'P28519'
    15. 
	
  15. 'P26754'
    16. 
	
  16. 'Q12021'
    17. 
	
  17. 'P27999'
    18. 
	
  18. 'Q04673'
    19. 
	
  19. 'P34087'
    20. 
	
  20. 'P07273'
    21. 
	
  21. 'Q04048'
    22. 
	
  22. 'P06839'
    23. 
	
  23. 'P06838'
    24. 
	
  24. 'P32628'
    25. 
	
  25. 'P37366'
    26. 
	
  26. 'P22336'
    27. 
	
  27. 'Q12004'
    28. 
	
  28. 'P40352'
    29. 
	
  29. 'P38902'
    30. 
	
  30. 'P06242'
    31. 




	
$`AUF1 (hnRNP D0) destabilizes mRNA`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'P39936'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'Q99383'
    13. 
	
  13. 'P43588'
    14. 
	
  14. 'P38764'
    15. 
	
  15. 'P30657'
    16. 
	
  16. 'P05759'
    17. 
	
  17. 'Q04062'
    18. 
	
  18. 'Q01939'
    19. 
	
  19. 'P25451'
    20. 
	
  20. 'P21243'
    21. 
	
  21. 'Q12250'
    22. 
	
  22. 'P21242'
    23. 
	
  23. 'P40016'
    24. 
	
  24. 'P23639'
    25. 
	
  25. 'P32565'
    26. 
	
  26. 'P32379'
    27. 
	
  27. 'P33297'
    28. 
	
  28. 'P33299'
    29. 
	
  29. 'Q08723'
    30. 
	
  30. 'P25043'
    31. 
	
  31. 'P40327'
    32. 
	
  32. 'P23724'
    33. 
	
  33. 'P0CH08'
    34. 
	
  34. 'P0CH09'
    35. 
	
  35. 'P04147'
    36. 
	
  36. 'P30656'
    37. 
	
  37. 'P53549'
    38. 
	
  38. 'P39935'
    39. 
	
  39. 'P38624'
    40. 
	
  40. 'P23638'
    41. 




	
$`Formation of transcription-coupled NER (TC-NER) repair complex`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P20436'
    4. 
	
  4. 'P20433'
    5. 
	
  5. 'Q03290'
    6. 
	
  6. 'Q02939'
    7. 
	
  7. 'P07276'
    8. 
	
  8. 'P16370'
    9. 
	
  9. 'Q00578'
    10. 
	
  10. 'P32776'
    11. 
	
  11. 'P22139'
    12. 
	
  12. 'P06777'
    13. 
	
  13. 'Q12021'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'Q04673'
    16. 
	
  16. 'P34087'
    17. 
	
  17. 'P07273'
    18. 
	
  18. 'Q04048'
    19. 
	
  19. 'P06839'
    20. 
	
  20. 'P06838'
    21. 
	
  21. 'P37366'
    22. 
	
  22. 'Q12004'
    23. 
	
  23. 'P40352'
    24. 
	
  24. 'P38902'
    25. 
	
  25. 'P06242'
    26. 




	
$`Transcription-coupled NER (TC-NER)`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P20436'
    4. 
	
  4. 'P20433'
    5. 
	
  5. 'Q03290'
    6. 
	
  6. 'Q02939'
    7. 
	
  7. 'P07276'
    8. 
	
  8. 'P16370'
    9. 
	
  9. 'Q00578'
    10. 
	
  10. 'P32776'
    11. 
	
  11. 'P22139'
    12. 
	
  12. 'P06777'
    13. 
	
  13. 'Q12021'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'Q04673'
    16. 
	
  16. 'P34087'
    17. 
	
  17. 'P07273'
    18. 
	
  18. 'Q04048'
    19. 
	
  19. 'P06839'
    20. 
	
  20. 'P06838'
    21. 
	
  21. 'P37366'
    22. 
	
  22. 'Q12004'
    23. 
	
  23. 'P40352'
    24. 
	
  24. 'P38902'
    25. 
	
  25. 'P06242'
    26. 




	
$`Dual incision reaction in TC-NER`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P20436'
    4. 
	
  4. 'P20433'
    5. 
	
  5. 'Q03290'
    6. 
	
  6. 'Q02939'
    7. 
	
  7. 'P07276'
    8. 
	
  8. 'P16370'
    9. 
	
  9. 'Q00578'
    10. 
	
  10. 'P32776'
    11. 
	
  11. 'P22139'
    12. 
	
  12. 'P06777'
    13. 
	
  13. 'Q12021'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'Q04673'
    16. 
	
  16. 'P34087'
    17. 
	
  17. 'P07273'
    18. 
	
  18. 'Q04048'
    19. 
	
  19. 'P06839'
    20. 
	
  20. 'P06838'
    21. 
	
  21. 'P37366'
    22. 
	
  22. 'Q12004'
    23. 
	
  23. 'P40352'
    24. 
	
  24. 'P38902'
    25. 
	
  25. 'P06242'
    26. 




	
$`M Phase`

		
    
	
  1. 'P38170'
    2. 
	
  2. 'Q06156'
    3. 
	
  3. 'P15790'
    4. 
	
  4. 'P38989'
    5. 
	
  5. 'P32943'
    6. 
	
  6. 'P32364'
    7. 
	
  7. 'P30283'
    8. 
	
  8. 'P24868'
    9. 
	
  9. 'P24869'
    10. 
	
  10. 'Q12267'
    11. 
	
  11. 'P32562'
    12. 
	
  12. 'Q04410'
    13. 
	
  13. 'P32567'
    14. 
	
  14. 'P01123'
    15. 
	
  15. 'Q06680'
    16. 
	
  16. 'P24871'
    17. 
	
  17. 'P24870'
    18. 
	
  18. 'P00546'
    19. 
	
  19. 'P38930'
    20. 
	
  20. 'P19454'
    21. 
	
  21. 'P43639'
    22. 




	
$`Lagging Strand Synthesis`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P13382'
    3. 
	
  3. 'P26754'
    4. 
	
  4. 'P15436'
    5. 
	
  5. 'P46957'
    6. 
	
  6. 'P40339'
    7. 
	
  7. 'P38121'
    8. 
	
  8. 'P38859'
    9. 
	
  9. 'P38251'
    10. 
	
  10. 'P38630'
    11. 
	
  11. 'P26793'
    12. 
	
  12. 'P20457'
    13. 
	
  13. 'P22336'
    14. 
	
  14. 'P40348'
    15. 
	
  15. 'P10363'
    16. 
	
  16. 'P38629'
    17. 




	
$`RNA Polymerase III Transcription Termination`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P40422'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P25441'
    6. 
	
  6. 'P32910'
    7. 
	
  7. 'P22276'
    8. 
	
  8. 'P28000'
    9. 
	
  9. 'P17890'
    10. 
	
  10. 'P22139'
    11. 
	
  11. 'P04051'
    12. 
	
  12. 'Q04307'
    13. 
	
  13. 'P35718'
    14. 
	
  14. 'P07703'
    15. 
	
  15. 'P32349'
    16. 
	
  16. 'P47076'
    17. 




	
$`Condensation of Prometaphase Chromosomes`

		
    
	
  1. 'P38170'
    2. 
	
  2. 'Q06156'
    3. 
	
  3. 'P15790'
    4. 
	
  4. 'P38989'
    5. 
	
  5. 'P32943'
    6. 
	
  6. 'P30283'
    7. 
	
  7. 'P24868'
    8. 
	
  8. 'P24869'
    9. 
	
  9. 'Q12267'
    10. 
	
  10. 'Q06680'
    11. 
	
  11. 'P24871'
    12. 
	
  12. 'P24870'
    13. 
	
  13. 'P00546'
    14. 
	
  14. 'P38930'
    15. 
	
  15. 'P19454'
    16. 
	
  16. 'P43639'
    17. 




	
$`Mitotic Prometaphase`

		
    
	
  1. 'P38170'
    2. 
	
  2. 'Q06156'
    3. 
	
  3. 'P15790'
    4. 
	
  4. 'P38989'
    5. 
	
  5. 'P32943'
    6. 
	
  6. 'P30283'
    7. 
	
  7. 'P24868'
    8. 
	
  8. 'P24869'
    9. 
	
  9. 'Q12267'
    10. 
	
  10. 'Q06680'
    11. 
	
  11. 'P24871'
    12. 
	
  12. 'P24870'
    13. 
	
  13. 'P00546'
    14. 
	
  14. 'P38930'
    15. 
	
  15. 'P19454'
    16. 
	
  16. 'P43639'
    17. 




	
$`Formation of the Early Elongation Complex`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P20436'
    4. 
	
  4. 'P20433'
    5. 
	
  5. 'Q03290'
    6. 
	
  6. 'Q02939'
    7. 
	
  7. 'P34160'
    8. 
	
  8. 'P32914'
    9. 
	
  9. 'P16370'
    10. 
	
  10. 'Q00578'
    11. 
	
  11. 'P32776'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P41896'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'P27692'
    16. 
	
  16. 'Q04673'
    17. 
	
  17. 'P34087'
    18. 
	
  18. 'P06839'
    19. 
	
  19. 'Q03254'
    20. 
	
  20. 'P37366'
    21. 
	
  21. 'Q08920'
    22. 
	
  22. 'Q12004'
    23. 
	
  23. 'P38902'
    24. 
	
  24. 'P06242'
    25. 




	
$`RNA Polymerase II Transcription Elongation`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P20436'
    4. 
	
  4. 'P20433'
    5. 
	
  5. 'Q03290'
    6. 
	
  6. 'Q02939'
    7. 
	
  7. 'P34160'
    8. 
	
  8. 'P32914'
    9. 
	
  9. 'P16370'
    10. 
	
  10. 'Q00578'
    11. 
	
  11. 'P32776'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P41896'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'P27692'
    16. 
	
  16. 'Q04673'
    17. 
	
  17. 'P34087'
    18. 
	
  18. 'P06839'
    19. 
	
  19. 'Q03254'
    20. 
	
  20. 'P37366'
    21. 
	
  21. 'Q08920'
    22. 
	
  22. 'Q12004'
    23. 
	
  23. 'P38902'
    24. 
	
  24. 'P06242'
    25. 




	
$`G1/S Transition`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P21951'
    3. 
	
  3. 'P13382'
    4. 
	
  4. 'Q08032'
    5. 
	
  5. 'P32943'
    6. 
	
  6. 'P06785'
    7. 
	
  7. 'P30283'
    8. 
	
  8. 'P24868'
    9. 
	
  9. 'P24869'
    10. 
	
  10. 'P23748'
    11. 
	
  11. 'P07807'
    12. 
	
  12. 'P09938'
    13. 
	
  13. 'P38121'
    14. 
	
  14. 'P24871'
    15. 
	
  15. 'P24870'
    16. 
	
  16. 'P00546'
    17. 
	
  17. 'P24482'
    18. 
	
  18. 'P20457'
    19. 
	
  19. 'P54784'
    20. 
	
  20. 'P10363'
    21. 




	
$`Mitotic G1-G1/S phases`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P21951'
    3. 
	
  3. 'P13382'
    4. 
	
  4. 'Q08032'
    5. 
	
  5. 'P32943'
    6. 
	
  6. 'P06785'
    7. 
	
  7. 'P30283'
    8. 
	
  8. 'P24868'
    9. 
	
  9. 'P24869'
    10. 
	
  10. 'P23748'
    11. 
	
  11. 'P07807'
    12. 
	
  12. 'P09938'
    13. 
	
  13. 'P38121'
    14. 
	
  14. 'P24871'
    15. 
	
  15. 'P24870'
    16. 
	
  16. 'P00546'
    17. 
	
  17. 'P24482'
    18. 
	
  18. 'P20457'
    19. 
	
  19. 'P54784'
    20. 
	
  20. 'P10363'
    21. 




	
$`Regulation of mRNA stability by proteins that bind AU-rich elements`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12377'
    4. 
	
  4. 'P22141'
    5. 
	
  5. 'P33298'
    6. 
	
  6. 'P39936'
    7. 
	
  7. 'P32496'
    8. 
	
  8. 'P40303'
    9. 
	
  9. 'P40302'
    10. 
	
  10. 'P38886'
    11. 
	
  11. 'P50086'
    12. 
	
  12. 'Q99383'
    13. 
	
  13. 'P43588'
    14. 
	
  14. 'P38764'
    15. 
	
  15. 'P30657'
    16. 
	
  16. 'P05759'
    17. 
	
  17. 'Q04062'
    18. 
	
  18. 'Q01939'
    19. 
	
  19. 'P25451'
    20. 
	
  20. 'P21243'
    21. 
	
  21. 'P47977'
    22. 
	
  22. 'P47976'
    23. 
	
  23. 'Q12250'
    24. 
	
  24. 'P38217'
    25. 
	
  25. 'P21242'
    26. 
	
  26. 'P40016'
    27. 
	
  27. 'P23639'
    28. 
	
  28. 'P32565'
    29. 
	
  29. 'P32379'
    30. 
	
  30. 'P33297'
    31. 
	
  31. 'P33299'
    32. 
	
  32. 'Q08723'
    33. 
	
  33. 'P25043'
    34. 
	
  34. 'P40327'
    35. 
	
  35. 'P23724'
    36. 
	
  36. 'P0CH08'
    37. 
	
  37. 'P0CH09'
    38. 
	
  38. 'P04147'
    39. 
	
  39. 'P30656'
    40. 
	
  40. 'P53549'
    41. 
	
  41. 'P39935'
    42. 
	
  42. 'P38624'
    43. 
	
  43. 'P23638'
    44. 




	
$`mRNA Splicing - Minor Pathway`

		
    
	
  1. 'P54999'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'P34160'
    7. 
	
  7. 'P19735'
    8. 
	
  8. 'P43321'
    9. 
	
  9. 'P16370'
    10. 
	
  10. 'P23394'
    11. 
	
  11. 'P39990'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P41896'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'Q01560'
    16. 
	
  16. 'Q04693'
    17. 
	
  17. 'P40204'
    18. 
	
  18. 'Q02260'
    19. 
	
  19. 'Q99181'
    20. 
	
  20. 'P34087'
    21. 
	
  21. 'P40018'
    22. 
	
  22. 'Q02554'
    23. 
	
  23. 'P49955'
    24. 
	
  24. 'Q08920'
    25. 
	
  25. 'P38203'
    26. 
	
  26. 'Q06819'
    27. 
	
  27. 'Q06217'
    28. 
	
  28. 'Q12330'
    29. 
	
  29. 'P38902'
    30. 
	
  30. 'P33334'
    31. 




	
$`mRNA Splicing`

		
    
	
  1. 'P54999'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'P34160'
    7. 
	
  7. 'P19735'
    8. 
	
  8. 'P43321'
    9. 
	
  9. 'P16370'
    10. 
	
  10. 'P23394'
    11. 
	
  11. 'P39990'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P41896'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'Q01560'
    16. 
	
  16. 'Q04693'
    17. 
	
  17. 'P40204'
    18. 
	
  18. 'Q02260'
    19. 
	
  19. 'Q99181'
    20. 
	
  20. 'P34087'
    21. 
	
  21. 'P40018'
    22. 
	
  22. 'Q02554'
    23. 
	
  23. 'P49955'
    24. 
	
  24. 'Q08920'
    25. 
	
  25. 'P38203'
    26. 
	
  26. 'Q06819'
    27. 
	
  27. 'Q06217'
    28. 
	
  28. 'Q12330'
    29. 
	
  29. 'P38902'
    30. 
	
  30. 'P33334'
    31. 




	
$`G2/M Checkpoints`

		
    
	
  1. 'P32944'
    2. 
	
  2. 'P29311'
    3. 
	
  3. 'P22216'
    4. 
	
  4. 'P34730'
    5. 
	
  5. 'P32943'
    6. 
	
  6. 'P38147'
    7. 
	
  7. 'P30283'
    8. 
	
  8. 'P24868'
    9. 
	
  9. 'P24869'
    10. 
	
  10. 'P23748'
    11. 
	
  11. 'P24871'
    12. 
	
  12. 'P24870'
    13. 
	
  13. 'P00546'
    14. 
	
  14. 'P38110'
    15. 




	
$`E2F mediated regulation of DNA replication`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P13382'
    3. 
	
  3. 'Q08032'
    4. 
	
  4. 'P32943'
    5. 
	
  5. 'P06785'
    6. 
	
  6. 'P30283'
    7. 
	
  7. 'P24868'
    8. 
	
  8. 'P24869'
    9. 
	
  9. 'P23748'
    10. 
	
  10. 'P07807'
    11. 
	
  11. 'P09938'
    12. 
	
  12. 'P38121'
    13. 
	
  13. 'P24871'
    14. 
	
  14. 'P24870'
    15. 
	
  15. 'P00546'
    16. 
	
  16. 'P20457'
    17. 
	
  17. 'P54784'
    18. 
	
  18. 'P10363'
    19. 




	
$`G2/M Transition`

		
    
	
  1. 'Q03290'
    2. 
	
  2. 'P32944'
    3. 
	
  3. 'P32943'
    4. 
	
  4. 'P30283'
    5. 
	
  5. 'P24868'
    6. 
	
  6. 'P24869'
    7. 
	
  7. 'P23748'
    8. 
	
  8. 'P32562'
    9. 
	
  9. 'P24871'
    10. 
	
  10. 'P24870'
    11. 
	
  11. 'P00546'
    12. 
	
  12. 'P37366'
    13. 
	
  13. 'P06242'
    14. 




	
$`Mitotic G2-G2/M phases`

		
    
	
  1. 'Q03290'
    2. 
	
  2. 'P32944'
    3. 
	
  3. 'P32943'
    4. 
	
  4. 'P30283'
    5. 
	
  5. 'P24868'
    6. 
	
  6. 'P24869'
    7. 
	
  7. 'P23748'
    8. 
	
  8. 'P32562'
    9. 
	
  9. 'P24871'
    10. 
	
  10. 'P24870'
    11. 
	
  11. 'P00546'
    12. 
	
  12. 'P37366'
    13. 
	
  13. 'P06242'
    14. 




	
$`Formation of incision complex in GG-NER`

		
    
	
  1. 'Q03290'
    2. 
	
  2. 'Q02939'
    3. 
	
  3. 'P14736'
    4. 
	
  4. 'P07276'
    5. 
	
  5. 'Q00578'
    6. 
	
  6. 'P32776'
    7. 
	
  7. 'P06777'
    8. 
	
  8. 'P28519'
    9. 
	
  9. 'P26754'
    10. 
	
  10. 'Q04673'
    11. 
	
  11. 'P06839'
    12. 
	
  12. 'P06838'
    13. 
	
  13. 'P32628'
    14. 
	
  14. 'P37366'
    15. 
	
  15. 'P22336'
    16. 
	
  16. 'Q12004'
    17. 
	
  17. 'P06242'
    18. 




	
$`Global Genomic NER (GG-NER)`

		
    
	
  1. 'Q03290'
    2. 
	
  2. 'Q02939'
    3. 
	
  3. 'P14736'
    4. 
	
  4. 'P07276'
    5. 
	
  5. 'Q00578'
    6. 
	
  6. 'P32776'
    7. 
	
  7. 'P06777'
    8. 
	
  8. 'P28519'
    9. 
	
  9. 'P26754'
    10. 
	
  10. 'Q04673'
    11. 
	
  11. 'P06839'
    12. 
	
  12. 'P06838'
    13. 
	
  13. 'P32628'
    14. 
	
  14. 'P37366'
    15. 
	
  15. 'P22336'
    16. 
	
  16. 'Q12004'
    17. 
	
  17. 'P06242'
    18. 




	
$`Dual incision reaction in GG-NER`

		
    
	
  1. 'Q03290'
    2. 
	
  2. 'Q02939'
    3. 
	
  3. 'P14736'
    4. 
	
  4. 'P07276'
    5. 
	
  5. 'Q00578'
    6. 
	
  6. 'P32776'
    7. 
	
  7. 'P06777'
    8. 
	
  8. 'P28519'
    9. 
	
  9. 'P26754'
    10. 
	
  10. 'Q04673'
    11. 
	
  11. 'P06839'
    12. 
	
  12. 'P06838'
    13. 
	
  13. 'P32628'
    14. 
	
  14. 'P37366'
    15. 
	
  15. 'P22336'
    16. 
	
  16. 'Q12004'
    17. 
	
  17. 'P06242'
    18. 




	
$`Processing of Capped Intron-Containing Pre-mRNA`

		
    
	
  1. 'P54999'
    2. 
	
  2. 'P20435'
    3. 
	
  3. 'P20434'
    4. 
	
  4. 'P20436'
    5. 
	
  5. 'P20433'
    6. 
	
  6. 'P34160'
    7. 
	
  7. 'P19735'
    8. 
	
  8. 'P43321'
    9. 
	
  9. 'P16370'
    10. 
	
  10. 'P23394'
    11. 
	
  11. 'P39990'
    12. 
	
  12. 'P22139'
    13. 
	
  13. 'P41896'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'Q01560'
    16. 
	
  16. 'Q04693'
    17. 
	
  17. 'P40204'
    18. 
	
  18. 'Q02260'
    19. 
	
  19. 'Q99181'
    20. 
	
  20. 'P34087'
    21. 
	
  21. 'P40018'
    22. 
	
  22. 'Q02554'
    23. 
	
  23. 'P49955'
    24. 
	
  24. 'Q08920'
    25. 
	
  25. 'P38203'
    26. 
	
  26. 'Q06819'
    27. 
	
  27. 'Q06217'
    28. 
	
  28. 'Q12330'
    29. 
	
  29. 'P38902'
    30. 
	
  30. 'P33334'
    31. 




	
$`Membrane Trafficking`

		
    
	
  1. 'P41810'
    2. 
	
  2. 'P41811'
    3. 
	
  3. 'P07560'
    4. 
	
  4. 'P47142'
    5. 
	
  5. 'P40343'
    6. 
	
  6. 'P15303'
    7. 
	
  7. 'P39929'
    8. 
	
  8. 'Q04272'
    9. 
	
  9. 'P38968'
    10. 
	
  10. 'P39993'
    11. 
	
  11. 'Q04491'
    12. 
	
  12. 'P05759'
    13. 
	
  13. 'P32074'
    14. 
	
  14. 'P36095'
    15. 
	
  15. 'P53622'
    16. 
	
  16. 'Q12028'
    17. 
	
  17. 'P53600'
    18. 
	
  18. 'P53953'
    19. 
	
  19. 'P36108'
    20. 
	
  20. 'P40482'
    21. 
	
  21. 'P35197'
    22. 
	
  22. 'P20606'
    23. 
	
  23. 'P43621'
    24. 
	
  24. 'P0CH08'
    25. 
	
  25. 'P0CH09'
    26. 
	
  26. 'P19146'
    27. 
	
  27. 'Q12483'
    28. 
	
  28. 'P47102'
    29. 




	
$`Vesicle-mediated transport`

		
    
	
  1. 'P41810'
    2. 
	
  2. 'P41811'
    3. 
	
  3. 'P07560'
    4. 
	
  4. 'P47142'
    5. 
	
  5. 'P40343'
    6. 
	
  6. 'P15303'
    7. 
	
  7. 'P39929'
    8. 
	
  8. 'Q04272'
    9. 
	
  9. 'P38968'
    10. 
	
  10. 'P39993'
    11. 
	
  11. 'Q04491'
    12. 
	
  12. 'P05759'
    13. 
	
  13. 'P32074'
    14. 
	
  14. 'P36095'
    15. 
	
  15. 'P53622'
    16. 
	
  16. 'Q12028'
    17. 
	
  17. 'P53600'
    18. 
	
  18. 'P53953'
    19. 
	
  19. 'P36108'
    20. 
	
  20. 'P40482'
    21. 
	
  21. 'P35197'
    22. 
	
  22. 'P20606'
    23. 
	
  23. 'P43621'
    24. 
	
  24. 'P0CH08'
    25. 
	
  25. 'P0CH09'
    26. 
	
  26. 'P19146'
    27. 
	
  27. 'Q12483'
    28. 
	
  28. 'P47102'
    29. 




	
$`Immune System`

		
    
	
  1. 'Q06103'
    2. 
	
  2. 'P40555'
    3. 
	
  3. 'Q12446'
    4. 
	
  4. 'P02829'
    5. 
	
  5. 'Q12377'
    6. 
	
  6. 'P22141'
    7. 
	
  7. 'P22217'
    8. 
	
  8. 'Q03407'
    9. 
	
  9. 'P33298'
    10. 
	
  10. 'Q03497'
    11. 
	
  11. 'P04821'
    12. 
	
  12. 'P38903'
    13. 
	
  13. 'P32496'
    14. 
	
  14. 'P13856'
    15. 
	
  15. 'P40303'
    16. 
	
  16. 'P40302'
    17. 
	
  17. 'P38886'
    18. 
	
  18. 'P19073'
    19. 
	
  19. 'P36126'
    20. 
	
  20. 'P50086'
    21. 
	
  21. 'P43588'
    22. 
	
  22. 'P38764'
    23. 
	
  23. 'P30657'
    24. 
	
  24. 'P05759'
    25. 
	
  25. 'Q04062'
    26. 
	
  26. 'Q05521'
    27. 
	
  27. 'Q01939'
    28. 
	
  28. 'P25451'
    29. 
	
  29. 'P21243'
    30. 
	
  30. 'P22803'
    31. 
	
  31. 'Q12250'
    32. 
	
  32. 'P21242'
    33. 
	
  33. 'P40016'
    34. 
	
  34. 'P23639'
    35. 
	
  35. 'P15108'
    36. 
	
  36. 'P07278'
    37. 
	
  37. 'P32485'
    38. 
	
  38. 'P32565'
    39. 
	
  39. 'P32454'
    40. 
	
  40. 'P32379'
    41. 
	
  41. 'P00546'
    42. 
	
  42. 'Q08446'
    43. 
	
  43. 'P33297'
    44. 
	
  44. 'P33299'
    45. 
	
  45. 'Q08723'
    46. 
	
  46. 'P25043'
    47. 
	
  47. 'P16892'
    48. 
	
  48. 'P14681'
    49. 
	
  49. 'P40327'
    50. 
	
  50. 'P23724'
    51. 
	
  51. 'P0CH08'
    52. 
	
  52. 'P0CH09'
    53. 
	
  53. 'Q04924'
    54. 
	
  54. 'P37898'
    55. 
	
  55. 'P08018'
    56. 
	
  56. 'P38128'
    57. 
	
  57. 'P30656'
    58. 
	
  58. 'P53549'
    59. 
	
  59. 'Q12236'
    60. 
	
  60. 'P38624'
    61. 
	
  61. 'P23638'
    62. 
	
  62. 'P32383'
    63. 
	
  63. 'P06245'
    64. 
	
  64. 'P06244'
    65. 




	
$`Cyclin A/B1 associated events during G2/M transition`

		
    
	
  1. 'Q03290'
    2. 
	
  2. 'P32944'
    3. 
	
  3. 'P32943'
    4. 
	
  4. 'P30283'
    5. 
	
  5. 'P24868'
    6. 
	
  6. 'P24869'
    7. 
	
  7. 'P23748'
    8. 
	
  8. 'P24871'
    9. 
	
  9. 'P24870'
    10. 
	
  10. 'P00546'
    11. 
	
  11. 'P37366'
    12. 
	
  12. 'P06242'
    13. 




	
$`Telomere C-strand (Lagging Strand) Synthesis`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P21951'
    3. 
	
  3. 'P13382'
    4. 
	
  4. 'P40339'
    5. 
	
  5. 'P38121'
    6. 
	
  6. 'P38251'
    7. 
	
  7. 'P24482'
    8. 
	
  8. 'P38630'
    9. 
	
  9. 'P20457'
    10. 
	
  10. 'P40348'
    11. 
	
  11. 'P10363'
    12. 
	
  12. 'P38629'
    13. 




	
$`DNA strand elongation`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P53091'
    3. 
	
  3. 'P13382'
    4. 
	
  4. 'Q08032'
    5. 
	
  5. 'P26754'
    6. 
	
  6. 'P15436'
    7. 
	
  7. 'P29496'
    8. 
	
  8. 'P24279'
    9. 
	
  9. 'P46957'
    10. 
	
  10. 'P40339'
    11. 
	
  11. 'P38121'
    12. 
	
  12. 'P30665'
    13. 
	
  13. 'P38859'
    14. 
	
  14. 'P38251'
    15. 
	
  15. 'P29469'
    16. 
	
  16. 'P38630'
    17. 
	
  17. 'P26793'
    18. 
	
  18. 'P20457'
    19. 
	
  19. 'P22336'
    20. 
	
  20. 'P40348'
    21. 
	
  21. 'P38132'
    22. 
	
  22. 'P10363'
    23. 
	
  23. 'P38629'
    24. 




	
$`mRNA Capping`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P20436'
    4. 
	
  4. 'P20433'
    5. 
	
  5. 'Q03290'
    6. 
	
  6. 'Q02939'
    7. 
	
  7. 'P34160'
    8. 
	
  8. 'P16370'
    9. 
	
  9. 'Q00578'
    10. 
	
  10. 'P32776'
    11. 
	
  11. 'P22139'
    12. 
	
  12. 'P41896'
    13. 
	
  13. 'P32783'
    14. 
	
  14. 'P27999'
    15. 
	
  15. 'P27692'
    16. 
	
  16. 'Q04673'
    17. 
	
  17. 'P34087'
    18. 
	
  18. 'P06839'
    19. 
	
  19. 'P37366'
    20. 
	
  20. 'Q08920'
    21. 
	
  21. 'Q12004'
    22. 
	
  22. 'P38902'
    23. 
	
  23. 'P06242'
    24. 




	
$`Cellular responses to stress`

		
    
	
  1. 'P41318'
    2. 
	
  2. 'P02829'
    3. 
	
  3. 'P29311'
    4. 
	
  4. 'P36014'
    5. 
	
  5. 'P22217'
    6. 
	
  6. 'P32600'
    7. 
	
  7. 'P50873'
    8. 
	
  8. 'P32590'
    9. 
	
  9. 'P38873'
    10. 
	
  10. 'P23561'
    11. 
	
  11. 'P25294'
    12. 
	
  12. 'P38615'
    13. 
	
  13. 'P34730'
    14. 
	
  14. 'P06700'
    15. 
	
  15. 'P40581'
    16. 
	
  16. 'P22803'
    17. 
	
  17. 'P15202'
    18. 
	
  18. 'P15108'
    19. 
	
  19. 'P32485'
    20. 
	
  20. 'P41921'
    21. 
	
  21. 'P34760'
    22. 
	
  22. 'P35169'
    23. 
	
  23. 'P32527'
    24. 
	
  24. 'P10961'
    25. 
	
  25. 'P53685'
    26. 
	
  26. 'P27466'
    27. 
	
  27. 'Q04120'
    28. 
	
  28. 'P16892'
    29. 
	
  29. 'P14681'
    30. 
	
  30. 'P08018'
    31. 
	
  31. 'P00044'
    32. 
	
  32. 'P38013'
    33. 
	
  33. 'P00447'
    34. 
	
  34. 'P00045'
    35. 
	
  35. 'Q01389'
    36. 
	
  36. 'P22517'
    37. 




	
$`Processive synthesis on the lagging strand`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P13382'
    3. 
	
  3. 'P26754'
    4. 
	
  4. 'P15436'
    5. 
	
  5. 'P46957'
    6. 
	
  6. 'P38121'
    7. 
	
  7. 'P38859'
    8. 
	
  8. 'P26793'
    9. 
	
  9. 'P20457'
    10. 
	
  10. 'P22336'
    11. 
	
  11. 'P10363'
    12. 




	
$`Removal of the Flap Intermediate`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P13382'
    3. 
	
  3. 'P26754'
    4. 
	
  4. 'P15436'
    5. 
	
  5. 'P46957'
    6. 
	
  6. 'P38121'
    7. 
	
  7. 'P38859'
    8. 
	
  8. 'P26793'
    9. 
	
  9. 'P20457'
    10. 
	
  10. 'P22336'
    11. 
	
  11. 'P10363'
    12. 




	
$`Pentose phosphate pathway (hexose monophosphate shunt)`

		
    
	
  1. 'P15019'
    2. 
	
  2. 'P37262'
    3. 
	
  3. 'P38720'
    4. 
	
  4. 'P53319'
    5. 
	
  5. 'P53315'
    6. 
	
  6. 'P53228'
    7. 
	
  7. 'P38858'
    8. 
	
  8. 'P50278'
    9. 
	
  9. 'P11412'
    10. 
	
  10. 'Q12189'
    11. 
	
  11. 'P46969'
    12. 




	
$`Mitotic Prophase`

		
    
	
  1. 'P32943'
    2. 
	
  2. 'P30283'
    3. 
	
  3. 'P24868'
    4. 
	
  4. 'P24869'
    5. 
	
  5. 'P32562'
    6. 
	
  6. 'Q04410'
    7. 
	
  7. 'P32567'
    8. 
	
  8. 'P01123'
    9. 
	
  9. 'P24871'
    10. 
	
  10. 'P24870'
    11. 
	
  11. 'P00546'
    12. 




	
$`RNA Pol II CTD phosphorylation and interaction with CE`

		
    
	
  1. 'P20435'
    2. 
	
  2. 'P20434'
    3. 
	
  3. 'P20436'
    4. 
	
  4. 'P20433'
    5. 
	
  5. 'Q03290'
    6. 
	
  6. 'Q02939'
    7. 
	
  7. 'P16370'
    8. 
	
  8. 'Q00578'
    9. 
	
  9. 'P32776'
    10. 
	
  10. 'P22139'
    11. 
	
  11. 'P41896'
    12. 
	
  12. 'P32783'
    13. 
	
  13. 'P27999'
    14. 
	
  14. 'P27692'
    15. 
	
  15. 'Q04673'
    16. 
	
  16. 'P34087'
    17. 
	
  17. 'P06839'
    18. 
	
  18. 'P37366'
    19. 
	
  19. 'Q12004'
    20. 
	
  20. 'P38902'
    21. 
	
  21. 'P06242'
    22. 




	
$`Polymerase switching`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P13382'
    3. 
	
  3. 'P40339'
    4. 
	
  4. 'P38121'
    5. 
	
  5. 'P38251'
    6. 
	
  6. 'P38630'
    7. 
	
  7. 'P20457'
    8. 
	
  8. 'P40348'
    9. 
	
  9. 'P10363'
    10. 
	
  10. 'P38629'
    11. 




	
$`Leading Strand Synthesis`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P13382'
    3. 
	
  3. 'P40339'
    4. 
	
  4. 'P38121'
    5. 
	
  5. 'P38251'
    6. 
	
  6. 'P38630'
    7. 
	
  7. 'P20457'
    8. 
	
  8. 'P40348'
    9. 
	
  9. 'P10363'
    10. 
	
  10. 'P38629'
    11. 




	
$`Polymerase switching on the C-strand of the telomere`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P13382'
    3. 
	
  3. 'P40339'
    4. 
	
  4. 'P38121'
    5. 
	
  5. 'P38251'
    6. 
	
  6. 'P38630'
    7. 
	
  7. 'P20457'
    8. 
	
  8. 'P40348'
    9. 
	
  9. 'P10363'
    10. 
	
  10. 'P38629'
    11. 




	
$`Integration of energy metabolism`

		
    
	
  1. 'P43637'
    2. 
	
  2. 'P15019'
    3. 
	
  3. 'P00549'
    4. 
	
  4. 'P38903'
    5. 
	
  5. 'P13856'
    6. 
	
  6. 'P04710'
    7. 
	
  7. 'P32604'
    8. 
	
  8. 'P38142'
    9. 
	
  9. 'P53142'
    10. 
	
  10. 'P34164'
    11. 
	
  11. 'P18238'
    12. 
	
  12. 'P18239'
    13. 
	
  13. 'P07278'
    14. 
	
  14. 'P52489'
    15. 
	
  15. 'P53228'
    16. 
	
  16. 'Q04739'
    17. 
	
  17. 'P06782'
    18. 
	
  18. 'Q00955'
    19. 
	
  19. 'P12904'
    20. 
	
  20. 'P38990'
    21. 
	
  21. 'P33333'
    22. 
	
  22. 'P06245'
    23. 
	
  23. 'P06244'
    24. 




	
$`alpha-linolenic (omega3) and linoleic (omega6) acid metabolism`

		
    
	
  1. 'P27796'
    2. 
	
  2. 'P39540'
    3. 
	
  3. 'P41909'
    4. 
	
  4. 'P41903'
    5. 
	
  5. 'P39518'
    6. 
	
  6. 'Q02207'
    7. 
	
  7. 'P25358'
    8. 
	
  8. 'P13711'
    9. 
	
  9. 'P40319'
    10. 




	
$`alpha-linolenic acid (ALA) metabolism`

		
    
	
  1. 'P27796'
    2. 
	
  2. 'P39540'
    3. 
	
  3. 'P41909'
    4. 
	
  4. 'P41903'
    5. 
	
  5. 'P39518'
    6. 
	
  6. 'Q02207'
    7. 
	
  7. 'P25358'
    8. 
	
  8. 'P13711'
    9. 
	
  9. 'P40319'
    10. 




	
$SUMOylation

		
    
	
  1. 'P35187'
    2. 
	
  2. 'P14736'
    3. 
	
  3. 'Q02724'
    4. 
	
  4. 'Q06624'
    5. 
	
  5. 'P06778'
    6. 
	
  6. 'P52488'
    7. 
	
  7. 'P50623'
    8. 
	
  8. 'P22336'
    9. 
	
  9. 'Q12306'
    10. 




	
$`Translesion synthesis by Y family DNA polymerases bypasses lesions on DNA template`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P12689'
    3. 
	
  3. 'P14284'
    4. 
	
  4. 'P05759'
    5. 
	
  5. 'P26754'
    6. 
	
  6. 'P25694'
    7. 
	
  7. 'P40339'
    8. 
	
  8. 'P38251'
    9. 
	
  9. 'P33755'
    10. 
	
  10. 'P53044'
    11. 
	
  11. 'P38630'
    12. 
	
  12. 'P22336'
    13. 
	
  13. 'Q01477'
    14. 
	
  14. 'P0CH08'
    15. 
	
  15. 'P0CH09'
    16. 
	
  16. 'P40348'
    17. 
	
  17. 'P38629'
    18. 




	
$`DNA Damage Bypass`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P12689'
    3. 
	
  3. 'P14284'
    4. 
	
  4. 'P05759'
    5. 
	
  5. 'P26754'
    6. 
	
  6. 'P25694'
    7. 
	
  7. 'P40339'
    8. 
	
  8. 'P38251'
    9. 
	
  9. 'P33755'
    10. 
	
  10. 'P53044'
    11. 
	
  11. 'P38630'
    12. 
	
  12. 'P22336'
    13. 
	
  13. 'Q01477'
    14. 
	
  14. 'P0CH08'
    15. 
	
  15. 'P0CH09'
    16. 
	
  16. 'P40348'
    17. 
	
  17. 'P38629'
    18. 




	
$`Cholesterol biosynthesis`

		
    
	
  1. 'P32462'
    2. 
	
  2. 'P10614'
    3. 
	
  3. 'Q12452'
    4. 
	
  4. 'P07277'
    5. 
	
  5. 'P15496'
    6. 
	
  6. 'P08524'
    7. 
	
  7. 'Q12051'
    8. 
	
  8. 'P12683'
    9. 
	
  9. 'P38604'
    10. 
	
  10. 'P29704'
    11. 
	
  11. 'P54839'
    12. 
	
  12. 'P32353'
    13. 
	
  13. 'P32476'
    14. 
	
  14. 'P53045'
    15. 
	
  15. 'P32377'
    16. 
	
  16. 'P53199'
    17. 




	
$`Translesion synthesis by POLK`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P12689'
    3. 
	
  3. 'P14284'
    4. 
	
  4. 'P05759'
    5. 
	
  5. 'P26754'
    6. 
	
  6. 'P40339'
    7. 
	
  7. 'P38251'
    8. 
	
  8. 'P38630'
    9. 
	
  9. 'P22336'
    10. 
	
  10. 'P0CH08'
    11. 
	
  11. 'P0CH09'
    12. 
	
  12. 'P40348'
    13. 
	
  13. 'P38629'
    14. 




	
$`Translesion synthesis by POLI`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P12689'
    3. 
	
  3. 'P14284'
    4. 
	
  4. 'P05759'
    5. 
	
  5. 'P26754'
    6. 
	
  6. 'P40339'
    7. 
	
  7. 'P38251'
    8. 
	
  8. 'P38630'
    9. 
	
  9. 'P22336'
    10. 
	
  10. 'P0CH08'
    11. 
	
  11. 'P0CH09'
    12. 
	
  12. 'P40348'
    13. 
	
  13. 'P38629'
    14. 




	
$`Recycling of eIF2:GDP`

		
    
	
  1. 'P32502'
    2. 
	
  2. 'P32501'
    3. 
	
  3. 'P14741'
    4. 
	
  4. 'P09032'
    5. 
	
  5. 'P32481'
    6. 
	
  6. 'P20459'
    7. 
	
  7. 'P09064'
    8. 
	
  8. 'P12754'
    9. 




	
$`E2F-enabled inhibition of pre-replication complex formation`

		
    
	
  1. 'P32943'
    2. 
	
  2. 'P30283'
    3. 
	
  3. 'P24868'
    4. 
	
  4. 'P24869'
    5. 
	
  5. 'P23748'
    6. 
	
  6. 'P24871'
    7. 
	
  7. 'P24870'
    8. 
	
  8. 'P00546'
    9. 




	
$`G2/M DNA replication checkpoint`

		
    
	
  1. 'P32944'
    2. 
	
  2. 'P32943'
    3. 
	
  3. 'P30283'
    4. 
	
  4. 'P24868'
    5. 
	
  5. 'P24869'
    6. 
	
  6. 'P24871'
    7. 
	
  7. 'P24870'
    8. 
	
  8. 'P00546'
    9. 




	
$`Cyclin B2 mediated events`

		
    
	
  1. 'P32943'
    2. 
	
  2. 'P30283'
    3. 
	
  3. 'P24868'
    4. 
	
  4. 'P24869'
    5. 
	
  5. 'P23748'
    6. 
	
  6. 'P24871'
    7. 
	
  7. 'P24870'
    8. 
	
  8. 'P00546'
    9. 




	
$`APC/C-mediated degradation of cell cycle proteins`

		
    
	
  1. 'P32943'
    2. 
	
  2. 'P30283'
    3. 
	
  3. 'P24868'
    4. 
	
  4. 'P24869'
    5. 
	
  5. 'P24871'
    6. 
	
  6. 'P24870'
    7. 
	
  7. 'P00546'
    8. 
	
  8. 'P53197'
    9. 




	
$`Regulation of mitotic cell cycle`

		
    
	
  1. 'P32943'
    2. 
	
  2. 'P30283'
    3. 
	
  3. 'P24868'
    4. 
	
  4. 'P24869'
    5. 
	
  5. 'P24871'
    6. 
	
  6. 'P24870'
    7. 
	
  7. 'P00546'
    8. 
	
  8. 'P53197'
    9. 




	
$`Regulation of APC/C activators between G1/S and early anaphase`

		
    
	
  1. 'P32943'
    2. 
	
  2. 'P30283'
    3. 
	
  3. 'P24868'
    4. 
	
  4. 'P24869'
    5. 
	
  5. 'P24871'
    6. 
	
  6. 'P24870'
    7. 
	
  7. 'P00546'
    8. 
	
  8. 'P53197'
    9. 




	
$`Synthesis of PC`

		
    
	
  1. 'Q03764'
    2. 
	
  2. 'P32796'
    3. 
	
  3. 'P17898'
    4. 
	
  4. 'P05375'
    5. 
	
  5. 'P22140'
    6. 
	
  6. 'P32567'
    7. 
	
  7. 'P20485'
    8. 
	
  8. 'P13259'
    9. 




	
$`Formation of tubulin folding intermediates by CCT/TriC`

		
    
	
  1. 'P39077'
    2. 
	
  2. 'P12612'
    3. 
	
  3. 'P39076'
    4. 
	
  4. 'P39079'
    5. 
	
  5. 'P39078'
    6. 
	
  6. 'P42943'
    7. 
	
  7. 'P40413'
    8. 
	
  8. 'P47079'
    9. 




	
$`Depolymerisation of the Nuclear Lamina`

		
    
	
  1. 'P32943'
    2. 
	
  2. 'P30283'
    3. 
	
  3. 'P24868'
    4. 
	
  4. 'P24869'
    5. 
	
  5. 'P32567'
    6. 
	
  6. 'P24871'
    7. 
	
  7. 'P24870'
    8. 
	
  8. 'P00546'
    9. 




	
$`Nuclear Envelope Breakdown`

		
    
	
  1. 'P32943'
    2. 
	
  2. 'P30283'
    3. 
	
  3. 'P24868'
    4. 
	
  4. 'P24869'
    5. 
	
  5. 'P32567'
    6. 
	
  6. 'P24871'
    7. 
	
  7. 'P24870'
    8. 
	
  8. 'P00546'
    9. 




	
$`Mismatch Repair`

		
    
	
  1. 'P39875'
    2. 
	
  2. 'Q12086'
    3. 
	
  3. 'P15873'
    4. 
	
  4. 'Q03834'
    5. 
	
  5. 'P25336'
    6. 
	
  6. 'P38920'
    7. 
	
  7. 'P25847'
    8. 
	
  8. 'P14242'
    9. 




	
$`Metabolism of lipids and lipoproteins`

		
    
	
  1. 'Q03764'
    2. 
	
  2. 'Q12289'
    3. 
	
  3. 'P40559'
    4. 
	
  4. 'Q07560'
    5. 
	
  5. 'P32796'
    6. 
	
  6. 'Q12271'
    7. 
	
  7. 'P33412'
    8. 
	
  8. 'P47147'
    9. 
	
  9. 'P21954'
    10. 
	
  10. 'P32462'
    11. 
	
  11. 'P36014'
    12. 
	
  12. 'P10614'
    13. 
	
  13. 'P22219'
    14. 
	
  14. 'P38221'
    15. 
	
  15. 'P38226'
    16. 
	
  16. 'Q12200'
    17. 
	
  17. 'P39994'
    18. 
	
  18. 'P39109'
    19. 
	
  19. 'P39104'
    20. 
	
  20. 'P17898'
    21. 
	
  21. 'P27796'
    22. 
	
  22. 'P36126'
    23. 
	
  23. 'P05375'
    24. 
	
  24. 'Q12246'
    25. 
	
  25. 'Q12452'
    26. 
	
  26. 'P32368'
    27. 
	
  27. 'P22140'
    28. 
	
  28. 'P06774'
    29. 
	
  29. 'P32378'
    30. 
	
  30. 'P39540'
    31. 
	
  31. 'Q08548'
    32. 
	
  32. 'P47013'
    33. 
	
  33. 'P22543'
    34. 
	
  34. 'P06197'
    35. 
	
  35. 'P40581'
    36. 
	
  36. 'P42951'
    37. 
	
  37. 'P37297'
    38. 
	
  38. 'P34164'
    39. 
	
  39. 'Q99190'
    40. 
	
  40. 'P23501'
    41. 
	
  41. 'Q08650'
    42. 
	
  42. 'P40015'
    43. 
	
  43. 'P07277'
    44. 
	
  44. 'P32567'
    45. 
	
  45. 'P50942'
    46. 
	
  46. 'P80235'
    47. 
	
  47. 'Q06510'
    48. 
	
  48. 'P53318'
    49. 
	
  49. 'P20485'
    50. 
	
  50. 'P41338'
    51. 
	
  51. 'Q04739'
    52. 
	
  52. 'P41909'
    53. 
	
  53. 'P15496'
    54. 
	
  54. 'P41903'
    55. 
	
  55. 'P06782'
    56. 
	
  56. 'P08524'
    57. 
	
  57. 'P38152'
    58. 
	
  58. 'Q12051'
    59. 
	
  59. 'P12683'
    60. 
	
  60. 'P38604'
    61. 
	
  61. 'Q06708'
    62. 
	
  62. 'Q02516'
    63. 
	
  63. 'Q00955'
    64. 
	
  64. 'P39518'
    65. 
	
  65. 'P12904'
    66. 
	
  66. 'Q02207'
    67. 
	
  67. 'P29704'
    68. 
	
  68. 'P25358'
    69. 
	
  69. 'P40857'
    70. 
	
  70. 'P38286'
    71. 
	
  71. 'P54839'
    72. 
	
  72. 'P38715'
    73. 
	
  73. 'P41735'
    74. 
	
  74. 'P34756'
    75. 
	
  75. 'Q06147'
    76. 
	
  76. 'P13259'
    77. 
	
  77. 'P19146'
    78. 
	
  78. 'P42837'
    79. 
	
  79. 'P32353'
    80. 
	
  80. 'P27680'
    81. 
	
  81. 'P13711'
    82. 
	
  82. 'P32476'
    83. 
	
  83. 'Q05567'
    84. 
	
  84. 'P13434'
    85. 
	
  85. 'P49017'
    86. 
	
  86. 'P53045'
    87. 
	
  87. 'P32377'
    88. 
	
  88. 'P40319'
    89. 
	
  89. 'P33333'
    90. 
	
  90. 'P53199'
    91. 




	
$`Translesion synthesis by REV1`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P12689'
    3. 
	
  3. 'P05759'
    4. 
	
  4. 'P26754'
    5. 
	
  5. 'P40339'
    6. 
	
  6. 'P38251'
    7. 
	
  7. 'P38630'
    8. 
	
  8. 'P22336'
    9. 
	
  9. 'P0CH08'
    10. 
	
  10. 'P0CH09'
    11. 
	
  11. 'P40348'
    12. 
	
  12. 'P38629'
    13. 




	
$`Activation of gene expression by SREBF (SREBP)`

		
    
	
  1. 'P32462'
    2. 
	
  2. 'P06774'
    3. 
	
  3. 'P08524'
    4. 
	
  4. 'Q02516'
    5. 
	
  5. 'P32353'
    6. 
	
  6. 'P32476'
    7. 
	
  7. 'P13434'
    8. 




	
$`Regulation of cholesterol biosynthesis by SREBP (SREBF)`

		
    
	
  1. 'P32462'
    2. 
	
  2. 'P06774'
    3. 
	
  3. 'P08524'
    4. 
	
  4. 'Q02516'
    5. 
	
  5. 'P32353'
    6. 
	
  6. 'P32476'
    7. 
	
  7. 'P13434'
    8. 




	
$`Mismatch repair (MMR) directed by MSH2:MSH6 (MutSalpha)`

		
    
	
  1. 'P39875'
    2. 
	
  2. 'Q12086'
    3. 
	
  3. 'P15873'
    4. 
	
  4. 'Q03834'
    5. 
	
  5. 'P38920'
    6. 
	
  6. 'P25847'
    7. 
	
  7. 'P14242'
    8. 




	
$`Mismatch repair (MMR) directed by MSH2:MSH3 (MutSbeta)`

		
    
	
  1. 'P39875'
    2. 
	
  2. 'Q12086'
    3. 
	
  3. 'P15873'
    4. 
	
  4. 'P25336'
    5. 
	
  5. 'P38920'
    6. 
	
  6. 'P25847'
    7. 
	
  7. 'P14242'
    8. 




	
$`Metabolism of carbohydrates`

		
    
	
  1. 'P00942'
    2. 
	
  2. 'P15019'
    3. 
	
  3. 'P00549'
    4. 
	
  4. 'P08431'
    5. 
	
  5. 'P37262'
    6. 
	
  6. 'P38063'
    7. 
	
  7. 'P17709'
    8. 
	
  8. 'Q02196'
    9. 
	
  9. 'P38903'
    10. 
	
  10. 'P16862'
    11. 
	
  11. 'P16861'
    12. 
	
  12. 'P32604'
    13. 
	
  13. 'P38689'
    14. 
	
  14. 'P38142'
    15. 
	
  15. 'Q12520'
    16. 
	
  16. 'P47011'
    17. 
	
  17. 'P23542'
    18. 
	
  18. 'P53142'
    19. 
	
  19. 'P00924'
    20. 
	
  20. 'P35497'
    21. 
	
  21. 'P38720'
    22. 
	
  22. 'P06738'
    23. 
	
  23. 'Q03262'
    24. 
	
  24. 'P36143'
    25. 
	
  25. 'P00560'
    26. 
	
  26. 'P52489'
    27. 
	
  27. 'P53319'
    28. 
	
  28. 'P53315'
    29. 
	
  29. 'P53228'
    30. 
	
  30. 'P38858'
    31. 
	
  31. 'P38152'
    32. 
	
  32. 'P17505'
    33. 
	
  33. 'P12709'
    34. 
	
  34. 'P50278'
    35. 
	
  35. 'Q12482'
    36. 
	
  36. 'P32861'
    37. 
	
  37. 'P11412'
    38. 
	
  38. 'P00359'
    39. 
	
  39. 'Q12189'
    40. 
	
  40. 'P32775'
    41. 
	
  41. 'P46969'
    42. 
	
  42. 'P27472'
    43. 
	
  43. 'P09201'
    44. 
	
  44. 'P33401'
    45. 
	
  45. 'P00950'
    46. 
	
  46. 'P04397'
    47. 
	
  47. 'P11154'
    48. 
	
  48. 'P54838'
    49. 
	
  49. 'P38715'
    50. 
	
  50. 'P53394'
    51. 
	
  51. 'Q06143'
    52. 
	
  52. 'Q06625'
    53. 
	
  53. 'P04807'
    54. 
	
  54. 'P38620'
    55. 
	
  55. 'P43550'
    56. 
	
  56. 'P06245'
    57. 
	
  57. 'P06244'
    58. 




	
$`Translesion Synthesis by POLH`

		
    
	
  1. 'P15873'
    2. 
	
  2. 'P05759'
    3. 
	
  3. 'P26754'
    4. 
	
  4. 'P25694'
    5. 
	
  5. 'P40339'
    6. 
	
  6. 'P38251'
    7. 
	
  7. 'P33755'
    8. 
	
  8. 'P53044'
    9. 
	
  9. 'P38630'
    10. 
	
  10. 'P22336'
    11. 
	
  11. 'P0CH08'
    12. 
	
  12. 'P0CH09'
    13. 
	
  13. 'P40348'
    14. 
	
  14. 'P38629'
    15. 




	
$`COPI Mediated Transport`

		
    
	
  1. 'P41810'
    2. 
	
  2. 'P41811'
    3. 
	
  3. 'P39993'
    4. 
	
  4. 'P32074'
    5. 
	
  5. 'P53622'
    6. 
	
  6. 'P53600'
    7. 
	
  7. 'P35197'
    8. 
	
  8. 'P43621'
    9. 
	
  9. 'P19146'
    10. 
	
  10. 'P47102'
    11. 




	
$`Golgi to ER Retrograde Transport`

		
    
	
  1. 'P41810'
    2. 
	
  2. 'P41811'
    3. 
	
  3. 'P39993'
    4. 
	
  4. 'P32074'
    5. 
	
  5. 'P53622'
    6. 
	
  6. 'P53600'
    7. 
	
  7. 'P35197'
    8. 
	
  8. 'P43621'
    9. 
	
  9. 'P19146'
    10. 
	
  10. 'P47102'
    11. 























In [32]:



    


cat(sapply(pathways, toString), file="pathways.csv", sep="\n")



    











In [31]:



    


cat(sapply(genes, toString), file="pathway_genes.csv", sep="\n")



    











In [29]:



    


write.csv(genes, file="pathway_genes.csv", sep=",")



    


















    






Warning message in write.csv(genes, file = "pathway_genes.csv", sep = ","):
“attempt to set 'sep' ignored”









    






Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, : arguments imply differing number of rows: 57, 92, 101, 265, 63, 58, 50, 62, 61, 43, 40, 33, 37, 36, 38, 23, 45, 32, 39, 30, 25, 21, 16, 24, 20, 14, 18, 13, 17, 28, 64, 12, 11, 10, 9, 8, 90, 7
Traceback:

1. write.csv(genes, file = "pathway_genes.csv", sep = ",")
2. eval.parent(Call)
3. eval(expr, p)
4. eval(expr, envir, enclos)
5. write.table(genes, file = "pathway_genes.csv", sep = ",", col.names = NA, 
 .     dec = ".", qmethod = "double")
6. data.frame(x)
7. as.data.frame(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors)
8. as.data.frame.list(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors)
9. do.call(data.frame, c(x, alis))
10. (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, 
  .     fix.empty.names = TRUE, stringsAsFactors = default.stringsAsFactors()) 
  . {
  .     data.row.names <- if (check.rows && is.null(row.names)) 
  .         function(current, new, i) {
  .             if (is.character(current)) 
  .                 new <- as.character(new)
  .             if (is.character(new)) 
  .                 current <- as.character(current)
  .             if (anyDuplicated(new)) 
  .                 return(current)
  .             if (is.null(current)) 
  .                 return(new)
  .             if (all(current == new) || all(current == "")) 
  .                 return(new)
  .             stop(gettextf("mismatch of row names in arguments of 'data.frame', item %d", 
  .                 i), domain = NA)
  .         }
  .     else function(current, new, i) {
  .         if (is.null(current)) {
  .             if (anyDuplicated(new)) {
  .                 warning(gettextf("some row.names duplicated: %s --> row.names NOT used", 
  .                   paste(which(duplicated(new)), collapse = ",")), 
  .                   domain = NA)
  .                 current
  .             }
  .             else new
  .         }
  .         else current
  .     }
  .     object <- as.list(substitute(list(...)))[-1L]
  .     mirn <- missing(row.names)
  .     mrn <- is.null(row.names)
  .     x <- list(...)
  .     n <- length(x)
  .     if (n < 1L) {
  .         if (!mrn) {
  .             if (is.object(row.names) || !is.integer(row.names)) 
  .                 row.names <- as.character(row.names)
  .             if (anyNA(row.names)) 
  .                 stop("row names contain missing values")
  .             if (anyDuplicated(row.names)) 
  .                 stop(gettextf("duplicate row.names: %s", paste(unique(row.names[duplicated(row.names)]), 
  .                   collapse = ", ")), domain = NA)
  .         }
  .         else row.names <- integer()
  .         return(structure(list(), names = character(), row.names = row.names, 
  .             class = "data.frame"))
  .     }
  .     vnames <- names(x)
  .     if (length(vnames) != n) 
  .         vnames <- character(n)
  .     no.vn <- !nzchar(vnames)
  .     vlist <- vnames <- as.list(vnames)
  .     nrows <- ncols <- integer(n)
  .     for (i in seq_len(n)) {
  .         xi <- if (is.character(x[[i]]) || is.list(x[[i]])) 
  .             as.data.frame(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors)
  .         else as.data.frame(x[[i]], optional = TRUE)
  .         nrows[i] <- .row_names_info(xi)
  .         ncols[i] <- length(xi)
  .         namesi <- names(xi)
  .         if (ncols[i] > 1L) {
  .             if (length(namesi) == 0L) 
  .                 namesi <- seq_len(ncols[i])
  .             vnames[[i]] <- if (no.vn[i]) 
  .                 namesi
  .             else paste(vnames[[i]], namesi, sep = ".")
  .         }
  .         else if (length(namesi)) {
  .             vnames[[i]] <- namesi
  .         }
  .         else if (fix.empty.names && no.vn[[i]]) {
  .             tmpname <- deparse(object[[i]], nlines = 1L)[1L]
  .             if (substr(tmpname, 1L, 2L) == "I(") {
  .                 ntmpn <- nchar(tmpname, "c")
  .                 if (substr(tmpname, ntmpn, ntmpn) == ")") 
  .                   tmpname <- substr(tmpname, 3L, ntmpn - 1L)
  .             }
  .             vnames[[i]] <- tmpname
  .         }
  .         if (mirn && nrows[i] > 0L) {
  .             rowsi <- attr(xi, "row.names")
  .             if (any(nzchar(rowsi))) 
  .                 row.names <- data.row.names(row.names, rowsi, 
  .                   i)
  .         }
  .         nrows[i] <- abs(nrows[i])
  .         vlist[[i]] <- xi
  .     }
  .     nr <- max(nrows)
  .     for (i in seq_len(n)[nrows < nr]) {
  .         xi <- vlist[[i]]
  .         if (nrows[i] > 0L && (nr%%nrows[i] == 0L)) {
  .             xi <- unclass(xi)
  .             fixed <- TRUE
  .             for (j in seq_along(xi)) {
  .                 xi1 <- xi[[j]]
  .                 if (is.vector(xi1) || is.factor(xi1)) 
  .                   xi[[j]] <- rep(xi1, length.out = nr)
  .                 else if (is.character(xi1) && inherits(xi1, "AsIs")) 
  .                   xi[[j]] <- structure(rep(xi1, length.out = nr), 
  .                     class = class(xi1))
  .                 else if (inherits(xi1, "Date") || inherits(xi1, 
  .                   "POSIXct")) 
  .                   xi[[j]] <- rep(xi1, length.out = nr)
  .                 else {
  .                   fixed <- FALSE
  .                   break
  .                 }
  .             }
  .             if (fixed) {
  .                 vlist[[i]] <- xi
  .                 next
  .             }
  .         }
  .         stop(gettextf("arguments imply differing number of rows: %s", 
  .             paste(unique(nrows), collapse = ", ")), domain = NA)
  .     }
  .     value <- unlist(vlist, recursive = FALSE, use.names = FALSE)
  .     vnames <- unlist(vnames[ncols > 0L])
  .     if (fix.empty.names && any(noname <- !nzchar(vnames))) 
  .         vnames[noname] <- paste("Var", seq_along(vnames), sep = ".")[noname]
  .     if (check.names) {
  .         if (fix.empty.names) 
  .             vnames <- make.names(vnames, unique = TRUE)
  .         else {
  .             nz <- nzchar(vnames)
  .             vnames[nz] <- make.names(vnames[nz], unique = TRUE)
  .         }
  .     }
  .     names(value) <- vnames
  .     if (!mrn) {
  .         if (length(row.names) == 1L && nr != 1L) {
  .             if (is.character(row.names)) 
  .                 row.names <- match(row.names, vnames, 0L)
  .             if (length(row.names) != 1L || row.names < 1L || 
  .                 row.names > length(vnames)) 
  .                 stop("'row.names' should specify one of the variables")
  .             i <- row.names
  .             row.names <- value[[i]]
  .             value <- value[-i]
  .         }
  .         else if (!is.null(row.names) && length(row.names) != 
  .             nr) 
  .             stop("row names supplied are of the wrong length")
  .     }
  .     else if (!is.null(row.names) && length(row.names) != nr) {
  .         warning("row names were found from a short variable and have been discarded")
  .         row.names <- NULL
  .     }
  .     if (is.null(row.names)) 
  .         row.names <- .set_row_names(nr)
  .     else {
  .         if (is.object(row.names) || !is.integer(row.names)) 
  .             row.names <- as.character(row.names)
  .         if (anyNA(row.names)) 
  .             stop("row names contain missing values")
  .         if (anyDuplicated(row.names)) 
  .             stop(gettextf("duplicate row.names: %s", paste(unique(row.names[duplicated(row.names)]), 
  .                 collapse = ", ")), domain = NA)
  .     }
  .     attr(value, "row.names") <- row.names
  .     attr(value, "class") <- "data.frame"
  .     value
  . })(`Mitochondrial Protein Import (yeast)` = c("Q3E731", "P07143", 
  . "P35180", "P07213", "Q08749", "P00830", "P00424", "P50110", "P61829", 
  . "P57744", "P80967", "P36046", "O74700", "P53969", "P04710", "P00890", 
  . "P32378", "P87108", "P10507", "P32839", "Q04341", "P32897", "Q07914", 
  . "P27882", "P28834", "Q01852", "Q07540", "P07251", "P14693", "P23644", 
  . "P36147", "P04840", "Q06510", "P11914", "P53220", "P19882", "Q02776", 
  . "O60200", "Q03667", "P32830", "P33448", "Q12328", "P42949", "P00175", 
  . "P39515", "P53299", "P47045", "P53507", "P19414", "P04037", "Q12287", 
  . "P49334", "P38523", "P23641", "P40202", "P32891", "P53193"), 
  .     `Mitochondrial protein import` = c("Q3E731", "P07143", "P35180", 
  .     "P07213", "Q08749", "P00830", "P00424", "P50110", "P61829", 
  .     "P57744", "P80967", "P36046", "O74700", "P53969", "P04710", 
  .     "P00890", "P32378", "P87108", "P10507", "P32839", "Q04341", 
  .     "P32897", "Q07914", "P27882", "P28834", "Q01852", "Q07540", 
  .     "P07251", "P14693", "P23644", "P36147", "P04840", "Q06510", 
  .     "P11914", "P53220", "P19882", "Q02776", "O60200", "Q03667", 
  .     "P32830", "P33448", "Q12328", "P42949", "P00175", "P39515", 
  .     "P53299", "P47045", "P53507", "P19414", "P04037", "Q12287", 
  .     "P49334", "P38523", "P23641", "P40202", "P32891", "P53193"
  .     ), `Cell Cycle, Mitotic` = c("Q06103", "P40555", "P38170", 
  .     "Q12377", "P22141", "Q03290", "P32944", "P15873", "P53091", 
  .     "P21951", "P33298", "Q06156", "P13382", "P15790", "Q08032", 
  .     "P32496", "P40303", "P40302", "P38886", "P50086", "P38989", 
  .     "P32943", "P32364", "P43588", "P06785", "P38764", "P30657", 
  .     "P05759", "P30283", "P24868", "P24869", "Q04062", "P26754", 
  .     "P23748", "Q01939", "P25451", "P21243", "P07807", "P15436", 
  .     "Q12250", "P21242", "P40016", "P23639", "P29496", "Q12267", 
  .     "P24279", "P46957", "P40339", "P32562", "P32565", "Q04410", 
  .     "P32567", "P09938", "P38121", "P01123", "P30665", "Q06680", 
  .     "P24871", "P24870", "P32379", "P38859", "P38251", "P29469", 
  .     "P00546", "P38930", "P24482", "P38630", "P33297", "P37366", 
  .     "P33299", "P26793", "P20457", "P19454", "Q08723", "P25043", 
  .     "P40327", "P22336", "P23724", "P0CH08", "P0CH09", "P40348", 
  .     "P53197", "P43639", "P54784", "P30656", "P53549", "P38624", 
  .     "P23638", "P38132", "P10363", "P38629", "P06242"), `Cell Cycle` = c("Q06103", 
  .     "P40555", "P32829", "P38170", "Q12377", "P22141", "Q03290", 
  .     "P32944", "P15873", "P53091", "P29311", "P21951", "P22216", 
  .     "P33298", "Q06156", "P13382", "P15790", "P46946", "Q08032", 
  .     "P32496", "P40303", "P40302", "P38886", "P34730", "P50086", 
  .     "P38989", "P32943", "P32364", "P43588", "P06785", "P38764", 
  .     "P38147", "P30657", "P05759", "P30283", "P24868", "P24869", 
  .     "Q04062", "P26754", "P23748", "Q01939", "P25451", "P21243", 
  .     "P07807", "P15436", "Q12250", "P21242", "P40016", "P23639", 
  .     "P29496", "Q12267", "P24279", "P46957", "P40339", "P32562", 
  .     "P32565", "Q04410", "P32567", "P09938", "P38121", "P01123", 
  .     "P30665", "Q06680", "P24871", "P24870", "P32379", "P38859", 
  .     "P38251", "P29469", "P00546", "P38930", "P24482", "P38630", 
  .     "P33297", "P37366", "P33299", "P26793", "P20457", "P19454", 
  .     "Q08723", "P38110", "P25043", "P40327", "P22336", "P23724", 
  .     "P0CH08", "P0CH09", "P40348", "P12753", "P53197", "P43639", 
  .     "P54784", "P33301", "P30656", "P53549", "P38624", "P23638", 
  .     "P38132", "P10363", "P38629", "P06242"), `Gene Expression` = c("Q03761", 
  .     "Q06103", "P0C0T4", "P40555", "P0CX84", "P0CX85", "P0CX82", 
  .     "P0CX83", "P0C2H7", "P38754", "P41318", "P05743", "P05740", 
  .     "P05747", "P05749", "P54999", "Q12377", "P20435", "P20434", 
  .     "P40422", "P20436", "P20433", "P26783", "P22141", "Q3E7X9", 
  .     "Q03290", "P0C2H9", "Q02939", "P38798", "P26786", "P25441", 
  .     "P34160", "P19735", "O13516", "Q08745", "P32502", "P32501", 
  .     "P32914", "P32910", "P36014", "P06367", "P43321", "P22217", 
  .     "P49166", "P49167", "P32600", "P38711", "P33298", "P22276", 
  .     "P16370", "P24000", "P0C0W9", "P38431", "P32324", "P12385", 
  .     "P38061", "Q02753", "P38873", "P26785", "P23394", "P39990", 
  .     "P0CX23", "P0CX24", "P0CX27", "P0CX28", "P0CX25", "P0CX26", 
  .     "P48589", "Q00578", "P0CX29", "P0CX30", "P38912", "P26784", 
  .     "P39936", "P14741", "P02406", "P02407", "P02400", "P28000", 
  .     "P17890", "P05745", "P32496", "P32497", "P32558", "P40303", 
  .     "P40302", "P13393", "P38886", "P11747", "P50086", "P32367", 
  .     "Q99383", "P14126", "P14120", "P32774", "P43588", "P32776", 
  .     "P41805", "P38764", "P30657", "P05750", "P05755", "P05756", 
  .     "P05759", "P30771", "P22139", "P29055", "P29056", "Q12099", 
  .     "P41896", "P0CX39", "P0CX40", "Q04062", "P32783", "P39933", 
  .     "P41056", "P41057", "Q01939", "P29453", "P27999", "P40581", 
  .     "P25451", "P09032", "Q01560", "Q04693", "P21243", "P49626", 
  .     "P27692", "Q04673", "P40204", "P47977", "P47976", "P0C0V8", 
  .     "Q02260", "P22803", "P46678", "P04051", "Q99181", "Q12250", 
  .     "Q01855", "P38217", "P51401", "P21242", "P34087", "P0C2H8", 
  .     "Q04307", "P40016", "P40018", "P23639", "P25443", "P33339", 
  .     "P39938", "Q05027", "P32481", "P26321", "P32565", "P00817", 
  .     "P06103", "P23248", "P41921", "P0CX33", "P0CX34", "P07280", 
  .     "Q06632", "P06839", "P53221", "Q02554", "Q04636", "P0CX55", 
  .     "P0CX56", "P0CX49", "P0CX50", "P0CX51", "P0CX52", "P0CX53", 
  .     "P0CX54", "P17076", "P34760", "Q04226", "Q03254", "P32379", 
  .     "P35169", "P39730", "Q12672", "P05319", "P36100", "Q12030", 
  .     "P35718", "P49955", "P12709", "Q06224", "P20459", "P05317", 
  .     "P11412", "P33297", "P37366", "P33299", "Q08920", "Q04120", 
  .     "P38203", "Q3E7Y3", "P05739", "P07703", "Q08723", "P39516", 
  .     "P25043", "P04456", "P34111", "P23255", "Q06819", "P32349", 
  .     "P40327", "P09064", "P0CX47", "P0CX48", "P23724", "P07260", 
  .     "Q06217", "P0CH08", "P0CH09", "Q12004", "P40217", "P40212", 
  .     "P38701", "P04147", "P40525", "P38129", "P54780", "P30656", 
  .     "P53549", "P0CX43", "P0CX44", "P0CX41", "P0CX42", "P0CX45", 
  .     "P0CX46", "P39935", "P12754", "P38013", "P32905", "P56628", 
  .     "P04650", "P38624", "O14455", "P47076", "P0CX35", "P0CX36", 
  .     "P0CX37", "P0CX38", "P0CX31", "P0CX32", "Q12330", "P38249", 
  .     "P0C0W1", "Q06151", "P38902", "P23638", "Q12123", "Q3E792", 
  .     "P46677", "Q04067", "P33334", "P05453", "P53040", "P06242"
  .     ), `S Phase` = c("Q06103", "P40555", "Q12377", "P22141", 
  .     "P15873", "P53091", "P21951", "P33298", "P13382", "Q08032", 
  .     "P32496", "P40303", "P40302", "P38886", "P50086", "P43588", 
  .     "P38764", "P30657", "P05759", "Q04062", "P26754", "P23748", 
  .     "Q01939", "P25451", "P21243", "P15436", "Q12250", "P21242", 
  .     "P40016", "P23639", "P29496", "P24279", "P46957", "P40339", 
  .     "P32565", "P38121", "P30665", "P32379", "P38859", "P38251", 
  .     "P29469", "P24482", "P38630", "P33297", "P33299", "P26793", 
  .     "P20457", "Q08723", "P25043", "P40327", "P22336", "P23724", 
  .     "P0CH08", "P0CH09", "P40348", "P54784", "P30656", "P53549", 
  .     "P38624", "P23638", "P38132", "P10363", "P38629"), Transcription = c("Q03761", 
  .     "P20435", "P20434", "P40422", "P20436", "P20433", "Q03290", 
  .     "Q02939", "P25441", "P34160", "P32914", "P32910", "P22276", 
  .     "P16370", "Q00578", "P28000", "P17890", "P32558", "P13393", 
  .     "P11747", "P32367", "P32774", "P32776", "P22139", "P29055", 
  .     "P29056", "P41896", "P32783", "P39933", "P27999", "P27692", 
  .     "Q04673", "P46678", "P04051", "P34087", "Q04307", "P33339", 
  .     "Q05027", "P06839", "Q04636", "Q04226", "Q03254", "P36100", 
  .     "Q12030", "P35718", "P37366", "Q08920", "P07703", "P34111", 
  .     "P23255", "P32349", "Q12004", "P38129", "P47076", "P38902", 
  .     "P46677", "P53040", "P06242"), `Cell Cycle Checkpoints` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P32944", "P29311", "P22216", 
  .     "P33298", "P32496", "P40303", "P40302", "P38886", "P34730", 
  .     "P50086", "P32943", "P43588", "P38764", "P38147", "P30657", 
  .     "P05759", "P30283", "P24868", "P24869", "Q04062", "P23748", 
  .     "Q01939", "P25451", "P21243", "Q12250", "P21242", "P40016", 
  .     "P23639", "P32565", "P24871", "P24870", "P32379", "P00546", 
  .     "P33297", "P33299", "Q08723", "P38110", "P25043", "P40327", 
  .     "P23724", "P0CH08", "P0CH09", "P30656", "P53549", "P38624", 
  .     "P23638"), `Synthesis of DNA` = c("Q06103", "P40555", "Q12377", 
  .     "P22141", "P15873", "P53091", "P21951", "P33298", "P13382", 
  .     "Q08032", "P32496", "P40303", "P40302", "P38886", "P50086", 
  .     "P43588", "P38764", "P30657", "P05759", "Q04062", "P26754", 
  .     "Q01939", "P25451", "P21243", "P15436", "Q12250", "P21242", 
  .     "P40016", "P23639", "P29496", "P24279", "P46957", "P40339", 
  .     "P32565", "P38121", "P30665", "P32379", "P38859", "P38251", 
  .     "P29469", "P24482", "P38630", "P33297", "P33299", "P26793", 
  .     "P20457", "Q08723", "P25043", "P40327", "P22336", "P23724", 
  .     "P0CH08", "P0CH09", "P40348", "P54784", "P30656", "P53549", 
  .     "P38624", "P23638", "P38132", "P10363", "P38629"), `DNA Replication` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P15873", "P53091", "P21951", 
  .     "P33298", "P13382", "Q08032", "P32496", "P40303", "P40302", 
  .     "P38886", "P50086", "P43588", "P38764", "P30657", "P05759", 
  .     "Q04062", "P26754", "Q01939", "P25451", "P21243", "P15436", 
  .     "Q12250", "P21242", "P40016", "P23639", "P29496", "P24279", 
  .     "P46957", "P40339", "P32565", "P38121", "P30665", "P32379", 
  .     "P38859", "P38251", "P29469", "P24482", "P38630", "P33297", 
  .     "P33299", "P26793", "P20457", "Q08723", "P25043", "P40327", 
  .     "P22336", "P23724", "P0CH08", "P0CH09", "P40348", "P54784", 
  .     "P30656", "P53549", "P38624", "P23638", "P38132", "P10363", 
  .     "P38629"), `DNA Repair` = c("P39875", "P32829", "P20435", 
  .     "P20434", "P20436", "P20433", "Q03290", "Q02939", "Q12086", 
  .     "P15873", "P14736", "Q03834", "P07276", "P12689", "P25336", 
  .     "P16370", "P14284", "Q00578", "P53397", "P25454", "P32776", 
  .     "P38920", "P05759", "P22139", "P06778", "P06777", "P28519", 
  .     "P26754", "Q12021", "P27999", "P25847", "Q04673", "P25694", 
  .     "P34087", "P07273", "Q04048", "P40339", "P06839", "P06838", 
  .     "P38251", "P33755", "P32628", "P53044", "P38630", "P37366", 
  .     "P38110", "P31378", "P22336", "Q01477", "P0CH08", "P0CH09", 
  .     "Q12004", "P40348", "P12753", "P40352", "P12887", "Q08214", 
  .     "P38902", "P38629", "P14242", "P06242"), `Switching of origins to a post-replicative state` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P53091", "P33298", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "P43588", "P38764", 
  .     "P30657", "P05759", "Q04062", "Q01939", "P25451", "P21243", 
  .     "Q12250", "P21242", "P40016", "P23639", "P29496", "P24279", 
  .     "P32565", "P30665", "P32379", "P29469", "P33297", "P33299", 
  .     "Q08723", "P25043", "P40327", "P23724", "P0CH08", "P0CH09", 
  .     "P54784", "P30656", "P53549", "P38624", "P23638", "P38132"
  .     ), `Removal of licensing factors from origins` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P53091", "P33298", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "P43588", "P38764", 
  .     "P30657", "P05759", "Q04062", "Q01939", "P25451", "P21243", 
  .     "Q12250", "P21242", "P40016", "P23639", "P29496", "P24279", 
  .     "P32565", "P30665", "P32379", "P29469", "P33297", "P33299", 
  .     "Q08723", "P25043", "P40327", "P23724", "P0CH08", "P0CH09", 
  .     "P54784", "P30656", "P53549", "P38624", "P23638", "P38132"
  .     ), `Regulation of DNA replication` = c("Q06103", "P40555", 
  .     "Q12377", "P22141", "P53091", "P33298", "P32496", "P40303", 
  .     "P40302", "P38886", "P50086", "P43588", "P38764", "P30657", 
  .     "P05759", "Q04062", "Q01939", "P25451", "P21243", "Q12250", 
  .     "P21242", "P40016", "P23639", "P29496", "P24279", "P32565", 
  .     "P30665", "P32379", "P29469", "P33297", "P33299", "Q08723", 
  .     "P25043", "P40327", "P23724", "P0CH08", "P0CH09", "P54784", 
  .     "P30656", "P53549", "P38624", "P23638", "P38132"), `p53-Independent DNA Damage Response` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P22216", "P33298", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "P43588", "P38764", 
  .     "P38147", "P30657", "P05759", "Q04062", "P23748", "Q01939", 
  .     "P25451", "P21243", "Q12250", "P21242", "P40016", "P23639", 
  .     "P32565", "P32379", "P33297", "P33299", "Q08723", "P38110", 
  .     "P25043", "P40327", "P23724", "P0CH08", "P0CH09", "P30656", 
  .     "P53549", "P38624", "P23638"), `p53-Independent G1/S DNA damage checkpoint` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P22216", "P33298", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "P43588", "P38764", 
  .     "P38147", "P30657", "P05759", "Q04062", "P23748", "Q01939", 
  .     "P25451", "P21243", "Q12250", "P21242", "P40016", "P23639", 
  .     "P32565", "P32379", "P33297", "P33299", "Q08723", "P38110", 
  .     "P25043", "P40327", "P23724", "P0CH08", "P0CH09", "P30656", 
  .     "P53549", "P38624", "P23638"), `G1/S DNA Damage Checkpoints` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P22216", "P33298", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "P43588", "P38764", 
  .     "P38147", "P30657", "P05759", "Q04062", "P23748", "Q01939", 
  .     "P25451", "P21243", "Q12250", "P21242", "P40016", "P23639", 
  .     "P32565", "P32379", "P33297", "P33299", "Q08723", "P38110", 
  .     "P25043", "P40327", "P23724", "P0CH08", "P0CH09", "P30656", 
  .     "P53549", "P38624", "P23638"), `Ubiquitin Mediated Degradation of Phosphorylated Cdc25A` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P22216", "P33298", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "P43588", "P38764", 
  .     "P38147", "P30657", "P05759", "Q04062", "P23748", "Q01939", 
  .     "P25451", "P21243", "Q12250", "P21242", "P40016", "P23639", 
  .     "P32565", "P32379", "P33297", "P33299", "Q08723", "P38110", 
  .     "P25043", "P40327", "P23724", "P0CH08", "P0CH09", "P30656", 
  .     "P53549", "P38624", "P23638"), `Cross-presentation of soluble exogenous antigens (endosomes)` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "P32496", "P40303", 
  .     "P40302", "P38886", "P50086", "P43588", "P38764", "P30657", 
  .     "Q04062", "Q01939", "P25451", "P21243", "Q12250", "P21242", 
  .     "P40016", "P23639", "P32565", "P32379", "P33297", "P33299", 
  .     "Q08723", "P25043", "P40327", "P23724", "P30656", "P53549", 
  .     "P38624", "P23638"), `Orc1 removal from chromatin` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "P32496", "P40303", 
  .     "P40302", "P38886", "P50086", "P43588", "P38764", "P30657", 
  .     "P05759", "Q04062", "Q01939", "P25451", "P21243", "Q12250", 
  .     "P21242", "P40016", "P23639", "P32565", "P32379", "P33297", 
  .     "P33299", "Q08723", "P25043", "P40327", "P23724", "P0CH08", 
  .     "P0CH09", "P54784", "P30656", "P53549", "P38624", "P23638"
  .     ), `Regulation of activated PAK-2p34 by proteasome mediated degradation` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "Q03497", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "P43588", "P38764", 
  .     "P30657", "P05759", "Q04062", "Q01939", "P25451", "P21243", 
  .     "Q12250", "P21242", "P40016", "P23639", "P32565", "P32379", 
  .     "P33297", "P33299", "Q08723", "P25043", "P40327", "P23724", 
  .     "P0CH08", "P0CH09", "P30656", "P53549", "P38624", "P23638"
  .     ), `Regulation of Apoptosis` = c("Q06103", "P40555", "Q12377", 
  .     "P22141", "P33298", "Q03497", "P32496", "P40303", "P40302", 
  .     "P38886", "P50086", "P43588", "P38764", "P30657", "P05759", 
  .     "Q04062", "Q01939", "P25451", "P21243", "Q12250", "P21242", 
  .     "P40016", "P23639", "P32565", "P32379", "P33297", "P33299", 
  .     "Q08723", "P25043", "P40327", "P23724", "P0CH08", "P0CH09", 
  .     "P30656", "P53549", "P38624", "P23638"), `ER-Phagosome pathway` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "P32496", "P40303", 
  .     "P40302", "P38886", "P50086", "P43588", "P38764", "P30657", 
  .     "P05759", "Q04062", "Q01939", "P25451", "P21243", "Q12250", 
  .     "P21242", "P40016", "P23639", "P32565", "P32379", "P33297", 
  .     "P33299", "Q08723", "P25043", "P40327", "P23724", "P0CH08", 
  .     "P0CH09", "P30656", "P53549", "P38624", "P23638"), `Antigen processing-Cross presentation` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "P32496", "P40303", 
  .     "P40302", "P38886", "P50086", "P43588", "P38764", "P30657", 
  .     "P05759", "Q04062", "Q01939", "P25451", "P21243", "Q12250", 
  .     "P21242", "P40016", "P23639", "P32565", "P32379", "P33297", 
  .     "P33299", "Q08723", "P25043", "P40327", "P23724", "P0CH08", 
  .     "P0CH09", "P30656", "P53549", "P38624", "P23638"), `Antigen processing: Ubiquitination & Proteasome degradation` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "P32496", "P40303", 
  .     "P40302", "P38886", "P50086", "P43588", "P38764", "P30657", 
  .     "P05759", "Q04062", "Q01939", "P25451", "P21243", "Q12250", 
  .     "P21242", "P40016", "P23639", "P32565", "P32454", "P32379", 
  .     "P33297", "P33299", "Q08723", "P25043", "P40327", "P23724", 
  .     "P0CH08", "P0CH09", "P37898", "P30656", "P53549", "P38624", 
  .     "P23638"), `Class I MHC mediated antigen processing & presentation` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "P32496", "P40303", 
  .     "P40302", "P38886", "P50086", "P43588", "P38764", "P30657", 
  .     "P05759", "Q04062", "Q01939", "P25451", "P21243", "Q12250", 
  .     "P21242", "P40016", "P23639", "P32565", "P32454", "P32379", 
  .     "P33297", "P33299", "Q08723", "P25043", "P40327", "P23724", 
  .     "P0CH08", "P0CH09", "P37898", "P30656", "P53549", "P38624", 
  .     "P23638"), `RNA Polymerase III Transcription Initiation From Type 1 Promoter` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P13393", "P32367", "P22139", "P29056", 
  .     "P39933", "P46678", "P04051", "Q04307", "P33339", "P35718", 
  .     "P07703", "P34111", "P32349", "P47076"), `RNA Polymerase III Transcription Initiation` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P13393", "P32367", "P22139", "P29056", 
  .     "P39933", "P46678", "P04051", "Q04307", "P33339", "P35718", 
  .     "P07703", "P34111", "P32349", "P47076"), `RNA Polymerase III Transcription` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P13393", "P32367", "P22139", "P29056", 
  .     "P39933", "P46678", "P04051", "Q04307", "P33339", "P35718", 
  .     "P07703", "P34111", "P32349", "P47076"), `RNA Polymerase I, RNA Polymerase III, and Mitochondrial Transcription` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P13393", "P32367", "P22139", "P29056", 
  .     "P39933", "P46678", "P04051", "Q04307", "P33339", "P35718", 
  .     "P07703", "P34111", "P32349", "P47076"), `RNA Polymerase III Abortive And Retractive Initiation` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P13393", "P32367", "P22139", "P29056", 
  .     "P39933", "P46678", "P04051", "Q04307", "P33339", "P35718", 
  .     "P07703", "P34111", "P32349", "P47076"), `RNA Polymerase III Transcription Initiation From Type 2 Promoter` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P13393", "P32367", "P22139", "P29056", 
  .     "P39933", "P46678", "P04051", "Q04307", "P33339", "P35718", 
  .     "P07703", "P34111", "P32349", "P47076"), `RNA Polymerase III Transcription Initiation From Type 3 Promoter` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P13393", "P32367", "P22139", "P29056", 
  .     "P39933", "P46678", "P04051", "Q04307", "P33339", "P35718", 
  .     "P07703", "P34111", "P32349", "P47076"), `RNA Polymerase III Chain Elongation` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P13393", "P32367", "P22139", "P29056", 
  .     "P39933", "P46678", "P04051", "Q04307", "P33339", "P35718", 
  .     "P07703", "P34111", "P32349", "P47076"), `RNA Polymerase II Transcription` = c("Q03761", 
  .     "P20435", "P20434", "P20436", "P20433", "Q03290", "Q02939", 
  .     "P34160", "P32914", "P16370", "Q00578", "P32558", "P13393", 
  .     "P11747", "P32774", "P32776", "P22139", "P29055", "P41896", 
  .     "P32783", "P27999", "P27692", "Q04673", "P34087", "Q05027", 
  .     "P06839", "Q04636", "Q04226", "Q03254", "P36100", "Q12030", 
  .     "P37366", "Q08920", "P23255", "Q12004", "P38129", "P38902", 
  .     "P46677", "P53040", "P06242"), `RNA Polymerase II Pre-transcription Events` = c("Q03761", 
  .     "P20435", "P20434", "P20436", "P20433", "Q03290", "Q02939", 
  .     "P32914", "P16370", "Q00578", "P32558", "P13393", "P11747", 
  .     "P32774", "P32776", "P22139", "P29055", "P41896", "P27999", 
  .     "P27692", "Q04673", "P34087", "Q05027", "P06839", "Q04636", 
  .     "Q04226", "P36100", "Q12030", "P37366", "P23255", "Q12004", 
  .     "P38129", "P38902", "P46677", "P53040", "P06242"), `Adaptive Immune System` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "Q03407", "P33298", "Q03497", 
  .     "P04821", "P32496", "P13856", "P40303", "P40302", "P38886", 
  .     "P19073", "P50086", "P43588", "P38764", "P30657", "P05759", 
  .     "Q04062", "Q01939", "P25451", "P21243", "Q12250", "P21242", 
  .     "P40016", "P23639", "P32565", "P32454", "P32379", "P33297", 
  .     "P33299", "Q08723", "P25043", "P40327", "P23724", "P0CH08", 
  .     "P0CH09", "P37898", "P30656", "P53549", "Q12236", "P38624", 
  .     "P23638", "P32383"), `RNA Polymerase II Promoter Escape` = c("Q03761", 
  .     "P20435", "P20434", "P20436", "P20433", "Q03290", "Q02939", 
  .     "P16370", "Q00578", "P13393", "P11747", "P32774", "P32776", 
  .     "P22139", "P29055", "P41896", "P27999", "Q04673", "P34087", 
  .     "Q05027", "P06839", "Q04226", "P36100", "Q12030", "P37366", 
  .     "P23255", "Q12004", "P38129", "P38902", "P46677", "P53040", 
  .     "P06242"), `RNA Polymerase II Transcription Initiation And Promoter Clearance` = c("Q03761", 
  .     "P20435", "P20434", "P20436", "P20433", "Q03290", "Q02939", 
  .     "P16370", "Q00578", "P13393", "P11747", "P32774", "P32776", 
  .     "P22139", "P29055", "P41896", "P27999", "Q04673", "P34087", 
  .     "Q05027", "P06839", "Q04226", "P36100", "Q12030", "P37366", 
  .     "P23255", "Q12004", "P38129", "P38902", "P46677", "P53040", 
  .     "P06242"), `RNA Polymerase II Transcription Initiation` = c("Q03761", 
  .     "P20435", "P20434", "P20436", "P20433", "Q03290", "Q02939", 
  .     "P16370", "Q00578", "P13393", "P11747", "P32774", "P32776", 
  .     "P22139", "P29055", "P41896", "P27999", "Q04673", "P34087", 
  .     "Q05027", "P06839", "Q04226", "P36100", "Q12030", "P37366", 
  .     "P23255", "Q12004", "P38129", "P38902", "P46677", "P53040", 
  .     "P06242"), `RNA Polymerase II Transcription Pre-Initiation And Promoter Opening` = c("Q03761", 
  .     "P20435", "P20434", "P20436", "P20433", "Q03290", "Q02939", 
  .     "P16370", "Q00578", "P13393", "P11747", "P32774", "P32776", 
  .     "P22139", "P29055", "P41896", "P27999", "Q04673", "P34087", 
  .     "Q05027", "P06839", "Q04226", "P36100", "Q12030", "P37366", 
  .     "P23255", "Q12004", "P38129", "P38902", "P46677", "P53040", 
  .     "P06242"), Apoptosis = c("Q06103", "P40555", "Q12377", "P22141", 
  .     "P33298", "Q03497", "P32496", "P40303", "P40302", "P38886", 
  .     "P50086", "P43588", "P38764", "P30657", "P05759", "Q04062", 
  .     "Q01939", "P25451", "P21243", "Q12250", "P21242", "P40016", 
  .     "P23639", "P32565", "P32379", "P33297", "P33299", "Q08723", 
  .     "P25043", "P40327", "P23724", "P0CH08", "P0CH09", "P00044", 
  .     "P30656", "P53549", "P38624", "P23638", "P00045"), `Programmed Cell Death` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "Q03497", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "P43588", "P38764", 
  .     "P30657", "P05759", "Q04062", "Q01939", "P25451", "P21243", 
  .     "Q12250", "P21242", "P40016", "P23639", "P32565", "P32379", 
  .     "P33297", "P33299", "Q08723", "P25043", "P40327", "P23724", 
  .     "P0CH08", "P0CH09", "P00044", "P30656", "P53549", "P38624", 
  .     "P23638", "P00045"), `Nucleotide Excision Repair` = c("P20435", 
  .     "P20434", "P20436", "P20433", "Q03290", "Q02939", "P14736", 
  .     "P07276", "P16370", "Q00578", "P32776", "P22139", "P06777", 
  .     "P28519", "P26754", "Q12021", "P27999", "Q04673", "P34087", 
  .     "P07273", "Q04048", "P06839", "P06838", "P32628", "P37366", 
  .     "P22336", "Q12004", "P40352", "P38902", "P06242"), `AUF1 (hnRNP D0) destabilizes mRNA` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "P39936", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "Q99383", "P43588", 
  .     "P38764", "P30657", "P05759", "Q04062", "Q01939", "P25451", 
  .     "P21243", "Q12250", "P21242", "P40016", "P23639", "P32565", 
  .     "P32379", "P33297", "P33299", "Q08723", "P25043", "P40327", 
  .     "P23724", "P0CH08", "P0CH09", "P04147", "P30656", "P53549", 
  .     "P39935", "P38624", "P23638"), `Formation of transcription-coupled NER (TC-NER) repair complex` = c("P20435", 
  .     "P20434", "P20436", "P20433", "Q03290", "Q02939", "P07276", 
  .     "P16370", "Q00578", "P32776", "P22139", "P06777", "Q12021", 
  .     "P27999", "Q04673", "P34087", "P07273", "Q04048", "P06839", 
  .     "P06838", "P37366", "Q12004", "P40352", "P38902", "P06242"
  .     ), `Transcription-coupled NER (TC-NER)` = c("P20435", "P20434", 
  .     "P20436", "P20433", "Q03290", "Q02939", "P07276", "P16370", 
  .     "Q00578", "P32776", "P22139", "P06777", "Q12021", "P27999", 
  .     "Q04673", "P34087", "P07273", "Q04048", "P06839", "P06838", 
  .     "P37366", "Q12004", "P40352", "P38902", "P06242"), `Dual incision reaction in TC-NER` = c("P20435", 
  .     "P20434", "P20436", "P20433", "Q03290", "Q02939", "P07276", 
  .     "P16370", "Q00578", "P32776", "P22139", "P06777", "Q12021", 
  .     "P27999", "Q04673", "P34087", "P07273", "Q04048", "P06839", 
  .     "P06838", "P37366", "Q12004", "P40352", "P38902", "P06242"
  .     ), `M Phase` = c("P38170", "Q06156", "P15790", "P38989", 
  .     "P32943", "P32364", "P30283", "P24868", "P24869", "Q12267", 
  .     "P32562", "Q04410", "P32567", "P01123", "Q06680", "P24871", 
  .     "P24870", "P00546", "P38930", "P19454", "P43639"), `Lagging Strand Synthesis` = c("P15873", 
  .     "P13382", "P26754", "P15436", "P46957", "P40339", "P38121", 
  .     "P38859", "P38251", "P38630", "P26793", "P20457", "P22336", 
  .     "P40348", "P10363", "P38629"), `RNA Polymerase III Transcription Termination` = c("P20435", 
  .     "P20434", "P40422", "P20436", "P25441", "P32910", "P22276", 
  .     "P28000", "P17890", "P22139", "P04051", "Q04307", "P35718", 
  .     "P07703", "P32349", "P47076"), `Condensation of Prometaphase Chromosomes` = c("P38170", 
  .     "Q06156", "P15790", "P38989", "P32943", "P30283", "P24868", 
  .     "P24869", "Q12267", "Q06680", "P24871", "P24870", "P00546", 
  .     "P38930", "P19454", "P43639"), `Mitotic Prometaphase` = c("P38170", 
  .     "Q06156", "P15790", "P38989", "P32943", "P30283", "P24868", 
  .     "P24869", "Q12267", "Q06680", "P24871", "P24870", "P00546", 
  .     "P38930", "P19454", "P43639"), `Formation of the Early Elongation Complex` = c("P20435", 
  .     "P20434", "P20436", "P20433", "Q03290", "Q02939", "P34160", 
  .     "P32914", "P16370", "Q00578", "P32776", "P22139", "P41896", 
  .     "P27999", "P27692", "Q04673", "P34087", "P06839", "Q03254", 
  .     "P37366", "Q08920", "Q12004", "P38902", "P06242"), `RNA Polymerase II Transcription Elongation` = c("P20435", 
  .     "P20434", "P20436", "P20433", "Q03290", "Q02939", "P34160", 
  .     "P32914", "P16370", "Q00578", "P32776", "P22139", "P41896", 
  .     "P27999", "P27692", "Q04673", "P34087", "P06839", "Q03254", 
  .     "P37366", "Q08920", "Q12004", "P38902", "P06242"), `G1/S Transition` = c("P15873", 
  .     "P21951", "P13382", "Q08032", "P32943", "P06785", "P30283", 
  .     "P24868", "P24869", "P23748", "P07807", "P09938", "P38121", 
  .     "P24871", "P24870", "P00546", "P24482", "P20457", "P54784", 
  .     "P10363"), `Mitotic G1-G1/S phases` = c("P15873", "P21951", 
  .     "P13382", "Q08032", "P32943", "P06785", "P30283", "P24868", 
  .     "P24869", "P23748", "P07807", "P09938", "P38121", "P24871", 
  .     "P24870", "P00546", "P24482", "P20457", "P54784", "P10363"
  .     ), `Regulation of mRNA stability by proteins that bind AU-rich elements` = c("Q06103", 
  .     "P40555", "Q12377", "P22141", "P33298", "P39936", "P32496", 
  .     "P40303", "P40302", "P38886", "P50086", "Q99383", "P43588", 
  .     "P38764", "P30657", "P05759", "Q04062", "Q01939", "P25451", 
  .     "P21243", "P47977", "P47976", "Q12250", "P38217", "P21242", 
  .     "P40016", "P23639", "P32565", "P32379", "P33297", "P33299", 
  .     "Q08723", "P25043", "P40327", "P23724", "P0CH08", "P0CH09", 
  .     "P04147", "P30656", "P53549", "P39935", "P38624", "P23638"
  .     ), `mRNA Splicing - Minor Pathway` = c("P54999", "P20435", 
  .     "P20434", "P20436", "P20433", "P34160", "P19735", "P43321", 
  .     "P16370", "P23394", "P39990", "P22139", "P41896", "P27999", 
  .     "Q01560", "Q04693", "P40204", "Q02260", "Q99181", "P34087", 
  .     "P40018", "Q02554", "P49955", "Q08920", "P38203", "Q06819", 
  .     "Q06217", "Q12330", "P38902", "P33334"), `mRNA Splicing` = c("P54999", 
  .     "P20435", "P20434", "P20436", "P20433", "P34160", "P19735", 
  .     "P43321", "P16370", "P23394", "P39990", "P22139", "P41896", 
  .     "P27999", "Q01560", "Q04693", "P40204", "Q02260", "Q99181", 
  .     "P34087", "P40018", "Q02554", "P49955", "Q08920", "P38203", 
  .     "Q06819", "Q06217", "Q12330", "P38902", "P33334"), `G2/M Checkpoints` = c("P32944", 
  .     "P29311", "P22216", "P34730", "P32943", "P38147", "P30283", 
  .     "P24868", "P24869", "P23748", "P24871", "P24870", "P00546", 
  .     "P38110"), `E2F mediated regulation of DNA replication` = c("P15873", 
  .     "P13382", "Q08032", "P32943", "P06785", "P30283", "P24868", 
  .     "P24869", "P23748", "P07807", "P09938", "P38121", "P24871", 
  .     "P24870", "P00546", "P20457", "P54784", "P10363"), `G2/M Transition` = c("Q03290", 
  .     "P32944", "P32943", "P30283", "P24868", "P24869", "P23748", 
  .     "P32562", "P24871", "P24870", "P00546", "P37366", "P06242"
  .     ), `Mitotic G2-G2/M phases` = c("Q03290", "P32944", "P32943", 
  .     "P30283", "P24868", "P24869", "P23748", "P32562", "P24871", 
  .     "P24870", "P00546", "P37366", "P06242"), `Formation of incision complex in GG-NER` = c("Q03290", 
  .     "Q02939", "P14736", "P07276", "Q00578", "P32776", "P06777", 
  .     "P28519", "P26754", "Q04673", "P06839", "P06838", "P32628", 
  .     "P37366", "P22336", "Q12004", "P06242"), `Global Genomic NER (GG-NER)` = c("Q03290", 
  .     "Q02939", "P14736", "P07276", "Q00578", "P32776", "P06777", 
  .     "P28519", "P26754", "Q04673", "P06839", "P06838", "P32628", 
  .     "P37366", "P22336", "Q12004", "P06242"), `Dual incision reaction in GG-NER` = c("Q03290", 
  .     "Q02939", "P14736", "P07276", "Q00578", "P32776", "P06777", 
  .     "P28519", "P26754", "Q04673", "P06839", "P06838", "P32628", 
  .     "P37366", "P22336", "Q12004", "P06242"), `Processing of Capped Intron-Containing Pre-mRNA` = c("P54999", 
  .     "P20435", "P20434", "P20436", "P20433", "P34160", "P19735", 
  .     "P43321", "P16370", "P23394", "P39990", "P22139", "P41896", 
  .     "P27999", "Q01560", "Q04693", "P40204", "Q02260", "Q99181", 
  .     "P34087", "P40018", "Q02554", "P49955", "Q08920", "P38203", 
  .     "Q06819", "Q06217", "Q12330", "P38902", "P33334"), `Membrane Trafficking` = c("P41810", 
  .     "P41811", "P07560", "P47142", "P40343", "P15303", "P39929", 
  .     "Q04272", "P38968", "P39993", "Q04491", "P05759", "P32074", 
  .     "P36095", "P53622", "Q12028", "P53600", "P53953", "P36108", 
  .     "P40482", "P35197", "P20606", "P43621", "P0CH08", "P0CH09", 
  .     "P19146", "Q12483", "P47102"), `Vesicle-mediated transport` = c("P41810", 
  .     "P41811", "P07560", "P47142", "P40343", "P15303", "P39929", 
  .     "Q04272", "P38968", "P39993", "Q04491", "P05759", "P32074", 
  .     "P36095", "P53622", "Q12028", "P53600", "P53953", "P36108", 
  .     "P40482", "P35197", "P20606", "P43621", "P0CH08", "P0CH09", 
  .     "P19146", "Q12483", "P47102"), `Immune System` = c("Q06103", 
  .     "P40555", "Q12446", "P02829", "Q12377", "P22141", "P22217", 
  .     "Q03407", "P33298", "Q03497", "P04821", "P38903", "P32496", 
  .     "P13856", "P40303", "P40302", "P38886", "P19073", "P36126", 
  .     "P50086", "P43588", "P38764", "P30657", "P05759", "Q04062", 
  .     "Q05521", "Q01939", "P25451", "P21243", "P22803", "Q12250", 
  .     "P21242", "P40016", "P23639", "P15108", "P07278", "P32485", 
  .     "P32565", "P32454", "P32379", "P00546", "Q08446", "P33297", 
  .     "P33299", "Q08723", "P25043", "P16892", "P14681", "P40327", 
  .     "P23724", "P0CH08", "P0CH09", "Q04924", "P37898", "P08018", 
  .     "P38128", "P30656", "P53549", "Q12236", "P38624", "P23638", 
  .     "P32383", "P06245", "P06244"), `Cyclin A/B1 associated events during G2/M transition` = c("Q03290", 
  .     "P32944", "P32943", "P30283", "P24868", "P24869", "P23748", 
  .     "P24871", "P24870", "P00546", "P37366", "P06242"), `Telomere C-strand (Lagging Strand) Synthesis` = c("P15873", 
  .     "P21951", "P13382", "P40339", "P38121", "P38251", "P24482", 
  .     "P38630", "P20457", "P40348", "P10363", "P38629"), `DNA strand elongation` = c("P15873", 
  .     "P53091", "P13382", "Q08032", "P26754", "P15436", "P29496", 
  .     "P24279", "P46957", "P40339", "P38121", "P30665", "P38859", 
  .     "P38251", "P29469", "P38630", "P26793", "P20457", "P22336", 
  .     "P40348", "P38132", "P10363", "P38629"), `mRNA Capping` = c("P20435", 
  .     "P20434", "P20436", "P20433", "Q03290", "Q02939", "P34160", 
  .     "P16370", "Q00578", "P32776", "P22139", "P41896", "P32783", 
  .     "P27999", "P27692", "Q04673", "P34087", "P06839", "P37366", 
  .     "Q08920", "Q12004", "P38902", "P06242"), `Cellular responses to stress` = c("P41318", 
  .     "P02829", "P29311", "P36014", "P22217", "P32600", "P50873", 
  .     "P32590", "P38873", "P23561", "P25294", "P38615", "P34730", 
  .     "P06700", "P40581", "P22803", "P15202", "P15108", "P32485", 
  .     "P41921", "P34760", "P35169", "P32527", "P10961", "P53685", 
  .     "P27466", "Q04120", "P16892", "P14681", "P08018", "P00044", 
  .     "P38013", "P00447", "P00045", "Q01389", "P22517"), `Processive synthesis on the lagging strand` = c("P15873", 
  .     "P13382", "P26754", "P15436", "P46957", "P38121", "P38859", 
  .     "P26793", "P20457", "P22336", "P10363"), `Removal of the Flap Intermediate` = c("P15873", 
  .     "P13382", "P26754", "P15436", "P46957", "P38121", "P38859", 
  .     "P26793", "P20457", "P22336", "P10363"), `Pentose phosphate pathway (hexose monophosphate shunt)` = c("P15019", 
  .     "P37262", "P38720", "P53319", "P53315", "P53228", "P38858", 
  .     "P50278", "P11412", "Q12189", "P46969"), `Mitotic Prophase` = c("P32943", 
  .     "P30283", "P24868", "P24869", "P32562", "Q04410", "P32567", 
  .     "P01123", "P24871", "P24870", "P00546"), `RNA Pol II CTD phosphorylation and interaction with CE` = c("P20435", 
  .     "P20434", "P20436", "P20433", "Q03290", "Q02939", "P16370", 
  .     "Q00578", "P32776", "P22139", "P41896", "P32783", "P27999", 
  .     "P27692", "Q04673", "P34087", "P06839", "P37366", "Q12004", 
  .     "P38902", "P06242"), `Polymerase switching` = c("P15873", 
  .     "P13382", "P40339", "P38121", "P38251", "P38630", "P20457", 
  .     "P40348", "P10363", "P38629"), `Leading Strand Synthesis` = c("P15873", 
  .     "P13382", "P40339", "P38121", "P38251", "P38630", "P20457", 
  .     "P40348", "P10363", "P38629"), `Polymerase switching on the C-strand of the telomere` = c("P15873", 
  .     "P13382", "P40339", "P38121", "P38251", "P38630", "P20457", 
  .     "P40348", "P10363", "P38629"), `Integration of energy metabolism` = c("P43637", 
  .     "P15019", "P00549", "P38903", "P13856", "P04710", "P32604", 
  .     "P38142", "P53142", "P34164", "P18238", "P18239", "P07278", 
  .     "P52489", "P53228", "Q04739", "P06782", "Q00955", "P12904", 
  .     "P38990", "P33333", "P06245", "P06244"), `alpha-linolenic (omega3) and linoleic (omega6) acid metabolism` = c("P27796", 
  .     "P39540", "P41909", "P41903", "P39518", "Q02207", "P25358", 
  .     "P13711", "P40319"), `alpha-linolenic acid (ALA) metabolism` = c("P27796", 
  .     "P39540", "P41909", "P41903", "P39518", "Q02207", "P25358", 
  .     "P13711", "P40319"), SUMOylation = c("P35187", "P14736", 
  .     "Q02724", "Q06624", "P06778", "P52488", "P50623", "P22336", 
  .     "Q12306"), `Translesion synthesis by Y family DNA polymerases bypasses lesions on DNA template` = c("P15873", 
  .     "P12689", "P14284", "P05759", "P26754", "P25694", "P40339", 
  .     "P38251", "P33755", "P53044", "P38630", "P22336", "Q01477", 
  .     "P0CH08", "P0CH09", "P40348", "P38629"), `DNA Damage Bypass` = c("P15873", 
  .     "P12689", "P14284", "P05759", "P26754", "P25694", "P40339", 
  .     "P38251", "P33755", "P53044", "P38630", "P22336", "Q01477", 
  .     "P0CH08", "P0CH09", "P40348", "P38629"), `Cholesterol biosynthesis` = c("P32462", 
  .     "P10614", "Q12452", "P07277", "P15496", "P08524", "Q12051", 
  .     "P12683", "P38604", "P29704", "P54839", "P32353", "P32476", 
  .     "P53045", "P32377", "P53199"), `Translesion synthesis by POLK` = c("P15873", 
  .     "P12689", "P14284", "P05759", "P26754", "P40339", "P38251", 
  .     "P38630", "P22336", "P0CH08", "P0CH09", "P40348", "P38629"
  .     ), `Translesion synthesis by POLI` = c("P15873", "P12689", 
  .     "P14284", "P05759", "P26754", "P40339", "P38251", "P38630", 
  .     "P22336", "P0CH08", "P0CH09", "P40348", "P38629"), `Recycling of eIF2:GDP` = c("P32502", 
  .     "P32501", "P14741", "P09032", "P32481", "P20459", "P09064", 
  .     "P12754"), `E2F-enabled inhibition of pre-replication complex formation` = c("P32943", 
  .     "P30283", "P24868", "P24869", "P23748", "P24871", "P24870", 
  .     "P00546"), `G2/M DNA replication checkpoint` = c("P32944", 
  .     "P32943", "P30283", "P24868", "P24869", "P24871", "P24870", 
  .     "P00546"), `Cyclin B2 mediated events` = c("P32943", "P30283", 
  .     "P24868", "P24869", "P23748", "P24871", "P24870", "P00546"
  .     ), `APC/C-mediated degradation of cell cycle proteins` = c("P32943", 
  .     "P30283", "P24868", "P24869", "P24871", "P24870", "P00546", 
  .     "P53197"), `Regulation of mitotic cell cycle` = c("P32943", 
  .     "P30283", "P24868", "P24869", "P24871", "P24870", "P00546", 
  .     "P53197"), `Regulation of APC/C activators between G1/S and early anaphase` = c("P32943", 
  .     "P30283", "P24868", "P24869", "P24871", "P24870", "P00546", 
  .     "P53197"), `Synthesis of PC` = c("Q03764", "P32796", "P17898", 
  .     "P05375", "P22140", "P32567", "P20485", "P13259"), `Formation of tubulin folding intermediates by CCT/TriC` = c("P39077", 
  .     "P12612", "P39076", "P39079", "P39078", "P42943", "P40413", 
  .     "P47079"), `Depolymerisation of the Nuclear Lamina` = c("P32943", 
  .     "P30283", "P24868", "P24869", "P32567", "P24871", "P24870", 
  .     "P00546"), `Nuclear Envelope Breakdown` = c("P32943", "P30283", 
  .     "P24868", "P24869", "P32567", "P24871", "P24870", "P00546"
  .     ), `Mismatch Repair` = c("P39875", "Q12086", "P15873", "Q03834", 
  .     "P25336", "P38920", "P25847", "P14242"), `Metabolism of lipids and lipoproteins` = c("Q03764", 
  .     "Q12289", "P40559", "Q07560", "P32796", "Q12271", "P33412", 
  .     "P47147", "P21954", "P32462", "P36014", "P10614", "P22219", 
  .     "P38221", "P38226", "Q12200", "P39994", "P39109", "P39104", 
  .     "P17898", "P27796", "P36126", "P05375", "Q12246", "Q12452", 
  .     "P32368", "P22140", "P06774", "P32378", "P39540", "Q08548", 
  .     "P47013", "P22543", "P06197", "P40581", "P42951", "P37297", 
  .     "P34164", "Q99190", "P23501", "Q08650", "P40015", "P07277", 
  .     "P32567", "P50942", "P80235", "Q06510", "P53318", "P20485", 
  .     "P41338", "Q04739", "P41909", "P15496", "P41903", "P06782", 
  .     "P08524", "P38152", "Q12051", "P12683", "P38604", "Q06708", 
  .     "Q02516", "Q00955", "P39518", "P12904", "Q02207", "P29704", 
  .     "P25358", "P40857", "P38286", "P54839", "P38715", "P41735", 
  .     "P34756", "Q06147", "P13259", "P19146", "P42837", "P32353", 
  .     "P27680", "P13711", "P32476", "Q05567", "P13434", "P49017", 
  .     "P53045", "P32377", "P40319", "P33333", "P53199"), `Translesion synthesis by REV1` = c("P15873", 
  .     "P12689", "P05759", "P26754", "P40339", "P38251", "P38630", 
  .     "P22336", "P0CH08", "P0CH09", "P40348", "P38629"), `Activation of gene expression by SREBF (SREBP)` = c("P32462", 
  .     "P06774", "P08524", "Q02516", "P32353", "P32476", "P13434"
  .     ), `Regulation of cholesterol biosynthesis by SREBP (SREBF)` = c("P32462", 
  .     "P06774", "P08524", "Q02516", "P32353", "P32476", "P13434"
  .     ), `Mismatch repair (MMR) directed by MSH2:MSH6 (MutSalpha)` = c("P39875", 
  .     "Q12086", "P15873", "Q03834", "P38920", "P25847", "P14242"
  .     ), `Mismatch repair (MMR) directed by MSH2:MSH3 (MutSbeta)` = c("P39875", 
  .     "Q12086", "P15873", "P25336", "P38920", "P25847", "P14242"
  .     ), `Metabolism of carbohydrates` = c("P00942", "P15019", 
  .     "P00549", "P08431", "P37262", "P38063", "P17709", "Q02196", 
  .     "P38903", "P16862", "P16861", "P32604", "P38689", "P38142", 
  .     "Q12520", "P47011", "P23542", "P53142", "P00924", "P35497", 
  .     "P38720", "P06738", "Q03262", "P36143", "P00560", "P52489", 
  .     "P53319", "P53315", "P53228", "P38858", "P38152", "P17505", 
  .     "P12709", "P50278", "Q12482", "P32861", "P11412", "P00359", 
  .     "Q12189", "P32775", "P46969", "P27472", "P09201", "P33401", 
  .     "P00950", "P04397", "P11154", "P54838", "P38715", "P53394", 
  .     "Q06143", "Q06625", "P04807", "P38620", "P43550", "P06245", 
  .     "P06244"), `Translesion Synthesis by POLH` = c("P15873", 
  .     "P05759", "P26754", "P25694", "P40339", "P38251", "P33755", 
  .     "P53044", "P38630", "P22336", "P0CH08", "P0CH09", "P40348", 
  .     "P38629"), `COPI Mediated Transport` = c("P41810", "P41811", 
  .     "P39993", "P32074", "P53622", "P53600", "P35197", "P43621", 
  .     "P19146", "P47102"), `Golgi to ER Retrograde Transport` = c("P41810", 
  .     "P41811", "P39993", "P32074", "P53622", "P53600", "P35197", 
  .     "P43621", "P19146", "P47102"), check.names = FALSE, fix.empty.names = TRUE, 
  .     stringsAsFactors = TRUE)
11. stop(gettextf("arguments imply differing number of rows: %s", 
  .     paste(unique(nrows), collapse = ", ")), domain = NA)
















In [341]:



    


# nrow(as.data.frame(x))



    











In [342]:



    


# barplot(x, showCategory=10, title = "Top Enriched Pathways")



    











In [343]:



    


# dotplot(x, showCategory=15)



    











In [344]:



    


# enrichMap(x, layout=igraph::layout.kamada.kawai, vertex.label.cex = 1)



    











In [345]:



    


numbersOfEnrichedPathways <- sapply(enrichmentResults, function(i) nrow(as.data.frame(i)))
enrichedCommunities <- genesInCommunities[numbersOfEnrichedPathways > 0 & lengths(genesInCommunities) > 3]



    











In [346]:



    


numbersOfEnrichedPathways



    


















    








	
01

		
115

	
01-01

		
29

	
01-01-01

		
0

	
01-01-02

		
13

	
01-01-02-01

		
1

	
01-01-02-01-01

		
3

	
01-01-02-01-02

		
0

	
01-01-02-01-03

		
0

	
01-01-02-02

		
0

	
01-01-02-03

		
13

	
01-01-03

		
0

	
01-01-04

		
0

	
01-01-04-01

		
0

	
01-01-04-02

		
0

	
01-01-04-03

		
0

	
01-02

		
15

	
01-02-01

		
0

	
01-02-01-01

		
0

	
01-02-01-02

		
13

	
01-02-01-03

		
0

	
01-02-01-03-01

		
0

	
01-02-01-03-02

		
0

	
01-02-01-03-03

		
2

	
01-02-02

		
8

	
01-02-02-01

		
0

	
01-02-02-02

		
0

	
01-02-02-03

		
3

	
01-02-02-03-01

		
0

	
01-02-02-03-02

		
2

	
01-02-02-03-03

		
0

	
01-02-03

		
0

	
01-02-03-01

		
0

	
01-02-03-02

		
0

	
01-02-03-03

		
0

	
01-03

		
8

	
01-03-01

		
0

	
01-03-01-01

		
0

	
01-03-01-02

		
0

	
01-03-01-03

		
0

	
01-03-01-03-01

		
0

	
01-03-01-03-02

		
3

	
01-03-01-03-03

		
0

	
01-03-01-03-04

		
16

	
01-03-01-03-05

		
0

	
01-03-01-04

		
12

	
01-03-01-04-01

		
0

	
01-03-01-04-02

		
22

	
01-03-01-04-03

		
21

	
01-03-01-05

		
2

	
01-03-02

		
0

	
01-03-02-01

		
0

	
01-03-02-02

		
0

	
01-03-02-03

		
2

	
01-03-02-03-01

		
0

	
01-03-02-03-02

		
26

	
01-03-02-03-03

		
0

	
01-03-03

		
0

	
01-03-03-01

		
6

	
01-03-03-02

		
0

	
01-03-03-02-01

		
8

	
01-03-03-02-02

		
0

	
01-03-03-02-03

		
0

	
01-03-03-03

		
0

	
01-03-03-03-01

		
13

	
01-03-03-03-02

		
0

	
01-03-03-03-03

		
0




















In [347]:



    


data.frame(numbersOfEnrichedPathways, lengths(genesInCommunities))



    


















    









numbersOfEnrichedPathwayslengths.genesInCommunities.


	
01115 1131

	
01-01 29  279

	
01-01-01  0   36

	
01-01-02 13  143

	
01-01-02-01  1   88

	
01-01-02-01-01  3   10

	
01-01-02-01-02  0   48

	
01-01-02-01-03  0   30

	
01-01-02-02  0   46

	
01-01-02-03 13    9

	
01-01-03  0   41

	
01-01-04  0   59

	
01-01-04-01  0   11

	
01-01-04-02  0   27

	
01-01-04-03  0   21

	
01-02 15  267

	
01-02-01  0  110

	
01-02-01-01  0   30

	
01-02-01-02 13   21

	
01-02-01-03  0   59

	
01-02-01-03-01  0    7

	
01-02-01-03-02  0   23

	
01-02-01-03-03  2   29

	
01-02-02  8   94

	
01-02-02-01  0   18

	
01-02-02-02  0   21

	
01-02-02-03  3   55

	
01-02-02-03-01  0   10

	
01-02-02-03-02  2    3

	
01-02-02-03-03  0   42

	
⋮⋮⋮

	
01-03-01-01 0  16

	
01-03-01-02 0  40

	
01-03-01-03 0  67

	
01-03-01-03-01 0  23

	
01-03-01-03-02 3   7

	
01-03-01-03-03 0  18

	
01-03-01-03-0416  17

	
01-03-01-03-05 0   2

	
01-03-01-0412  59

	
01-03-01-04-01 0  13

	
01-03-01-04-0222  31

	
01-03-01-04-0321  15

	
01-03-01-05 2  27

	
01-03-02 0 117

	
01-03-02-01 0  28

	
01-03-02-02 0  32

	
01-03-02-03 2  57

	
01-03-02-03-01 0  21

	
01-03-02-03-0226  22

	
01-03-02-03-03 0  14

	
01-03-03 0 259

	
01-03-03-01 6 129

	
01-03-03-02 0  67

	
01-03-03-02-01 8  12

	
01-03-03-02-02 0   9

	
01-03-03-02-03 0  46

	
01-03-03-03 0  63

	
01-03-03-03-0113  32

	
01-03-03-03-02 0   1

	
01-03-03-03-03 0  30





















In [348]:



    


res <- compareCluster(enrichedCommunities, 
                      fun="enrichPathway", universe = allGenesInDB, organism = "yeast", minGSSize = 5,  
                                                           pAdjustMethod = "none")

png(filename=sprintf("community_pathway_enrichment_all_communities.png"), width=1500)
plot(res)
dev.off()



    


















    












    






png: 2
















In [349]:



    


plotPathwayEnrichments <- function(community){
    
#     subCommunities <- getAllSubCommunities(community)
    subCommunities <- getSubCommunities(community)
    
    if (!is.null(subCommunities) && !NA %in% subCommunities) {

        communitiesOfInterest <- c(community, subCommunities)
        genesOfInterest <- enrichedCommunities[communitiesOfInterest]
        genesOfInterest <- genesOfInterest[!is.na(names(genesOfInterest))]
        
        if (length(genesOfInterest) > 1) {
            res <- compareCluster(genesOfInterest, 
            fun="enrichPathway", organism = "yeast", minGSSize = 5,  pAdjustMethod = "none")

            png(filename=sprintf("community_pathway_enrichment_%s.png", community), 
                width=500 + length(genesOfInterest) * 150)
            print(plot(res))
            dev.off()
        } 
        
    }
    
    print(sprintf("completed %s", community))

}



    











In [350]:



    


sapply(communities, plotPathwayEnrichments)



    


















    






[1] "completed 01"
[1] "completed 01-01"
[1] "completed 01-01-01"
[1] "completed 01-01-02"
[1] "completed 01-01-02-01"
[1] "completed 01-01-02-01-01"
[1] "completed 01-01-02-01-02"
[1] "completed 01-01-02-01-03"
[1] "completed 01-01-02-02"
[1] "completed 01-01-02-03"
[1] "completed 01-01-03"
[1] "completed 01-01-04"
[1] "completed 01-01-04-01"
[1] "completed 01-01-04-02"
[1] "completed 01-01-04-03"
[1] "completed 01-02"
[1] "completed 01-02-01"
[1] "completed 01-02-01-01"
[1] "completed 01-02-01-02"
[1] "completed 01-02-01-03"
[1] "completed 01-02-01-03-01"
[1] "completed 01-02-01-03-02"
[1] "completed 01-02-01-03-03"
[1] "completed 01-02-02"
[1] "completed 01-02-02-01"
[1] "completed 01-02-02-02"
[1] "completed 01-02-02-03"
[1] "completed 01-02-02-03-01"
[1] "completed 01-02-02-03-02"
[1] "completed 01-02-02-03-03"
[1] "completed 01-02-03"
[1] "completed 01-02-03-01"
[1] "completed 01-02-03-02"
[1] "completed 01-02-03-03"
[1] "completed 01-03"
[1] "completed 01-03-01"
[1] "completed 01-03-01-01"
[1] "completed 01-03-01-02"
[1] "completed 01-03-01-03"
[1] "completed 01-03-01-03-01"
[1] "completed 01-03-01-03-02"
[1] "completed 01-03-01-03-03"
[1] "completed 01-03-01-03-04"
[1] "completed 01-03-01-03-05"
[1] "completed 01-03-01-04"
[1] "completed 01-03-01-04-01"
[1] "completed 01-03-01-04-02"
[1] "completed 01-03-01-04-03"
[1] "completed 01-03-01-05"
[1] "completed 01-03-02"
[1] "completed 01-03-02-01"
[1] "completed 01-03-02-02"
[1] "completed 01-03-02-03"
[1] "completed 01-03-02-03-01"
[1] "completed 01-03-02-03-02"
[1] "completed 01-03-02-03-03"
[1] "completed 01-03-03"
[1] "completed 01-03-03-01"
[1] "completed 01-03-03-02"
[1] "completed 01-03-03-02-01"
[1] "completed 01-03-03-02-02"
[1] "completed 01-03-03-02-03"
[1] "completed 01-03-03-03"
[1] "completed 01-03-03-03-01"
[1] "completed 01-03-03-03-02"
[1] "completed 01-03-03-03-03"










    








	
01

		
'completed 01'

	
01-01

		
'completed 01-01'

	
01-01-01

		
'completed 01-01-01'

	
01-01-02

		
'completed 01-01-02'

	
01-01-02-01

		
'completed 01-01-02-01'

	
01-01-02-01-01

		
'completed 01-01-02-01-01'

	
01-01-02-01-02

		
'completed 01-01-02-01-02'

	
01-01-02-01-03

		
'completed 01-01-02-01-03'

	
01-01-02-02

		
'completed 01-01-02-02'

	
01-01-02-03

		
'completed 01-01-02-03'

	
01-01-03

		
'completed 01-01-03'

	
01-01-04

		
'completed 01-01-04'

	
01-01-04-01

		
'completed 01-01-04-01'

	
01-01-04-02

		
'completed 01-01-04-02'

	
01-01-04-03

		
'completed 01-01-04-03'

	
01-02

		
'completed 01-02'

	
01-02-01

		
'completed 01-02-01'

	
01-02-01-01

		
'completed 01-02-01-01'

	
01-02-01-02

		
'completed 01-02-01-02'

	
01-02-01-03

		
'completed 01-02-01-03'

	
01-02-01-03-01

		
'completed 01-02-01-03-01'

	
01-02-01-03-02

		
'completed 01-02-01-03-02'

	
01-02-01-03-03

		
'completed 01-02-01-03-03'

	
01-02-02

		
'completed 01-02-02'

	
01-02-02-01

		
'completed 01-02-02-01'

	
01-02-02-02

		
'completed 01-02-02-02'

	
01-02-02-03

		
'completed 01-02-02-03'

	
01-02-02-03-01

		
'completed 01-02-02-03-01'

	
01-02-02-03-02

		
'completed 01-02-02-03-02'

	
01-02-02-03-03

		
'completed 01-02-02-03-03'

	
01-02-03

		
'completed 01-02-03'

	
01-02-03-01

		
'completed 01-02-03-01'

	
01-02-03-02

		
'completed 01-02-03-02'

	
01-02-03-03

		
'completed 01-02-03-03'

	
01-03

		
'completed 01-03'

	
01-03-01

		
'completed 01-03-01'

	
01-03-01-01

		
'completed 01-03-01-01'

	
01-03-01-02

		
'completed 01-03-01-02'

	
01-03-01-03

		
'completed 01-03-01-03'

	
01-03-01-03-01

		
'completed 01-03-01-03-01'

	
01-03-01-03-02

		
'completed 01-03-01-03-02'

	
01-03-01-03-03

		
'completed 01-03-01-03-03'

	
01-03-01-03-04

		
'completed 01-03-01-03-04'

	
01-03-01-03-05

		
'completed 01-03-01-03-05'

	
01-03-01-04

		
'completed 01-03-01-04'

	
01-03-01-04-01

		
'completed 01-03-01-04-01'

	
01-03-01-04-02

		
'completed 01-03-01-04-02'

	
01-03-01-04-03

		
'completed 01-03-01-04-03'

	
01-03-01-05

		
'completed 01-03-01-05'

	
01-03-02

		
'completed 01-03-02'

	
01-03-02-01

		
'completed 01-03-02-01'

	
01-03-02-02

		
'completed 01-03-02-02'

	
01-03-02-03

		
'completed 01-03-02-03'

	
01-03-02-03-01

		
'completed 01-03-02-03-01'

	
01-03-02-03-02

		
'completed 01-03-02-03-02'

	
01-03-02-03-03

		
'completed 01-03-02-03-03'

	
01-03-03

		
'completed 01-03-03'

	
01-03-03-01

		
'completed 01-03-03-01'

	
01-03-03-02

		
'completed 01-03-03-02'

	
01-03-03-02-01

		
'completed 01-03-03-02-01'

	
01-03-03-02-02

		
'completed 01-03-03-02-02'

	
01-03-03-02-03

		
'completed 01-03-03-02-03'

	
01-03-03-03

		
'completed 01-03-03-03'

	
01-03-03-03-01

		
'completed 01-03-03-03-01'

	
01-03-03-03-02

		
'completed 01-03-03-03-02'

	
01-03-03-03-03

		
'completed 01-03-03-03-03'




















In [352]:



    


factorClusters <- lapply(enrichedCommunities, function(genes) {
    f <- factor(as.integer(allGenesInDB%in%genes))
    names(f) <- allGenesInDB
    return(f)
})



    











In [353]:



    


coms <- factorClusters[getSubCommunities("01")]
m1 <- compareCluster(coms[!is.na(names(coms))], fun="enrichGO", 
                     OrgDb=mapping, minGSSize = 5,  pAdjustMethod = "none")



    


















    






Error in compareCluster(coms[!is.na(names(coms))], fun = "enrichGO", OrgDb = mapping, : No enrichment found in any of gene cluster, please check your input...
Traceback:

1. compareCluster(coms[!is.na(names(coms))], fun = "enrichGO", OrgDb = mapping, 
 .     minGSSize = 5, pAdjustMethod = "none")
2. stop("No enrichment found in any of gene cluster, please check your input...")
















In [ ]:



    


compareCluster(c(getGenes("01-02-02-02"), getGenes("01-02-02-03")), fun="groupGO", OrgDb=mapping)



    











In [42]:



    


# viewPathway(pathName = "Nonsense Mediated Decay (NMD) enhanced by the Exon Junction Complex (EJC)", 
#             organism = "yeast", readable = F)



    











In [258]:



    


setOntology(ont, loadIC=TRUE)
setEvidenceLevel(evidences="all", organism=org.Sc.sgdORGANISM, gomap=org.Sc.sgdGO)



    


















    






initializing GOSim package ...
-> retrieving GO information for all available genes for organism 'human' in GO database
-> filtering GO terms according to evidence levels 'all'
-> loading files with information content for corresponding GO category (human)
finished.
-> loading files with information content for corresponding GO category (human)
-> retrieving GO information for all available genes for organism 'Saccharomyces cerevisiae' in GO database
-> filtering GO terms according to evidence levels 'all'

















In [57]:



    


allGenesORF <- keys(db)


GOenrichmentResults <- sapply(genesInCommunities, function(genesOfInterest) {
    
    conversionTable <- select(db, genesOfInterest, "ORF", "ENTREZID")
    
    GOenrichment(conversionTable$ORF, allGenesORF, cutoff=0.05, method="weight01")
}
)



    


















    






'select()' returned many:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 3195 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 17:	1 nodes to be scored	(0 eliminated genes)

	 Level 16:	12 nodes to be scored	(0 eliminated genes)

	 Level 15:	36 nodes to be scored	(2 eliminated genes)

	 Level 14:	75 nodes to be scored	(40 eliminated genes)

	 Level 13:	138 nodes to be scored	(213 eliminated genes)

	 Level 12:	186 nodes to be scored	(516 eliminated genes)

	 Level 11:	281 nodes to be scored	(1014 eliminated genes)

	 Level 10:	380 nodes to be scored	(1600 eliminated genes)

	 Level 9:	447 nodes to be scored	(2277 eliminated genes)

	 Level 8:	405 nodes to be scored	(3043 eliminated genes)

	 Level 7:	413 nodes to be scored	(4111 eliminated genes)

	 Level 6:	366 nodes to be scored	(4714 eliminated genes)

	 Level 5:	259 nodes to be scored	(5058 eliminated genes)

	 Level 4:	138 nodes to be scored	(5282 eliminated genes)

	 Level 3:	42 nodes to be scored	(5470 eliminated genes)

	 Level 2:	15 nodes to be scored	(5551 eliminated genes)

	 Level 1:	1 nodes to be scored	(5603 eliminated genes)
'select()' returned many:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 1708 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	2 nodes to be scored	(0 eliminated genes)

	 Level 15:	9 nodes to be scored	(0 eliminated genes)

	 Level 14:	28 nodes to be scored	(16 eliminated genes)

	 Level 13:	54 nodes to be scored	(88 eliminated genes)

	 Level 12:	88 nodes to be scored	(300 eliminated genes)

	 Level 11:	124 nodes to be scored	(784 eliminated genes)

	 Level 10:	161 nodes to be scored	(1274 eliminated genes)

	 Level 9:	218 nodes to be scored	(1947 eliminated genes)

	 Level 8:	204 nodes to be scored	(2559 eliminated genes)

	 Level 7:	241 nodes to be scored	(3642 eliminated genes)

	 Level 6:	234 nodes to be scored	(4383 eliminated genes)

	 Level 5:	187 nodes to be scored	(4818 eliminated genes)

	 Level 4:	110 nodes to be scored	(5152 eliminated genes)

	 Level 3:	35 nodes to be scored	(5454 eliminated genes)

	 Level 2:	12 nodes to be scored	(5543 eliminated genes)

	 Level 1:	1 nodes to be scored	(5592 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 932 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	4 nodes to be scored	(0 eliminated genes)

	 Level 14:	14 nodes to be scored	(4 eliminated genes)

	 Level 13:	27 nodes to be scored	(43 eliminated genes)

	 Level 12:	39 nodes to be scored	(183 eliminated genes)

	 Level 11:	58 nodes to be scored	(505 eliminated genes)

	 Level 10:	69 nodes to be scored	(923 eliminated genes)

	 Level 9:	102 nodes to be scored	(1563 eliminated genes)

	 Level 8:	93 nodes to be scored	(2159 eliminated genes)

	 Level 7:	105 nodes to be scored	(3211 eliminated genes)

	 Level 6:	142 nodes to be scored	(4042 eliminated genes)

	 Level 5:	136 nodes to be scored	(4561 eliminated genes)

	 Level 4:	93 nodes to be scored	(4991 eliminated genes)

	 Level 3:	35 nodes to be scored	(5353 eliminated genes)

	 Level 2:	13 nodes to be scored	(5497 eliminated genes)

	 Level 1:	1 nodes to be scored	(5594 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 954 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	8 nodes to be scored	(0 eliminated genes)

	 Level 13:	20 nodes to be scored	(7 eliminated genes)

	 Level 12:	34 nodes to be scored	(234 eliminated genes)

	 Level 11:	56 nodes to be scored	(602 eliminated genes)

	 Level 10:	89 nodes to be scored	(1050 eliminated genes)

	 Level 9:	115 nodes to be scored	(1535 eliminated genes)

	 Level 8:	100 nodes to be scored	(2261 eliminated genes)

	 Level 7:	121 nodes to be scored	(3290 eliminated genes)

	 Level 6:	148 nodes to be scored	(4138 eliminated genes)

	 Level 5:	133 nodes to be scored	(4672 eliminated genes)

	 Level 4:	85 nodes to be scored	(5068 eliminated genes)

	 Level 3:	32 nodes to be scored	(5380 eliminated genes)

	 Level 2:	11 nodes to be scored	(5477 eliminated genes)

	 Level 1:	1 nodes to be scored	(5598 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 1395 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	7 nodes to be scored	(0 eliminated genes)

	 Level 14:	19 nodes to be scored	(4 eliminated genes)

	 Level 13:	40 nodes to be scored	(69 eliminated genes)

	 Level 12:	58 nodes to be scored	(290 eliminated genes)

	 Level 11:	88 nodes to be scored	(682 eliminated genes)

	 Level 10:	112 nodes to be scored	(1119 eliminated genes)

	 Level 9:	163 nodes to be scored	(1678 eliminated genes)

	 Level 8:	164 nodes to be scored	(2375 eliminated genes)

	 Level 7:	192 nodes to be scored	(3516 eliminated genes)

	 Level 6:	213 nodes to be scored	(4343 eliminated genes)

	 Level 5:	179 nodes to be scored	(4811 eliminated genes)

	 Level 4:	107 nodes to be scored	(5186 eliminated genes)

	 Level 3:	38 nodes to be scored	(5441 eliminated genes)

	 Level 2:	13 nodes to be scored	(5535 eliminated genes)

	 Level 1:	1 nodes to be scored	(5599 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 466 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	2 nodes to be scored	(0 eliminated genes)

	 Level 14:	6 nodes to be scored	(0 eliminated genes)

	 Level 13:	10 nodes to be scored	(18 eliminated genes)

	 Level 12:	18 nodes to be scored	(129 eliminated genes)

	 Level 11:	23 nodes to be scored	(465 eliminated genes)

	 Level 10:	29 nodes to be scored	(917 eliminated genes)

	 Level 9:	41 nodes to be scored	(1268 eliminated genes)

	 Level 8:	44 nodes to be scored	(1729 eliminated genes)

	 Level 7:	55 nodes to be scored	(2218 eliminated genes)

	 Level 6:	80 nodes to be scored	(3175 eliminated genes)

	 Level 5:	80 nodes to be scored	(3964 eliminated genes)

	 Level 4:	47 nodes to be scored	(4499 eliminated genes)

	 Level 3:	21 nodes to be scored	(5196 eliminated genes)

	 Level 2:	9 nodes to be scored	(5411 eliminated genes)

	 Level 1:	1 nodes to be scored	(5564 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 653 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 17:	1 nodes to be scored	(0 eliminated genes)

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	2 nodes to be scored	(2 eliminated genes)

	 Level 14:	4 nodes to be scored	(5 eliminated genes)

	 Level 13:	16 nodes to be scored	(28 eliminated genes)

	 Level 12:	27 nodes to be scored	(92 eliminated genes)

	 Level 11:	36 nodes to be scored	(222 eliminated genes)

	 Level 10:	43 nodes to be scored	(818 eliminated genes)

	 Level 9:	73 nodes to be scored	(1321 eliminated genes)

	 Level 8:	77 nodes to be scored	(1896 eliminated genes)

	 Level 7:	80 nodes to be scored	(2451 eliminated genes)

	 Level 6:	100 nodes to be scored	(3797 eliminated genes)

	 Level 5:	96 nodes to be scored	(4262 eliminated genes)

	 Level 4:	60 nodes to be scored	(4776 eliminated genes)

	 Level 3:	26 nodes to be scored	(5272 eliminated genes)

	 Level 2:	10 nodes to be scored	(5470 eliminated genes)

	 Level 1:	1 nodes to be scored	(5591 eliminated genes)
'select()' returned many:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 1198 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	8 nodes to be scored	(0 eliminated genes)

	 Level 14:	21 nodes to be scored	(5 eliminated genes)

	 Level 13:	34 nodes to be scored	(87 eliminated genes)

	 Level 12:	66 nodes to be scored	(346 eliminated genes)

	 Level 11:	83 nodes to be scored	(751 eliminated genes)

	 Level 10:	117 nodes to be scored	(1214 eliminated genes)

	 Level 9:	136 nodes to be scored	(1778 eliminated genes)

	 Level 8:	128 nodes to be scored	(2269 eliminated genes)

	 Level 7:	144 nodes to be scored	(3306 eliminated genes)

	 Level 6:	167 nodes to be scored	(4083 eliminated genes)

	 Level 5:	147 nodes to be scored	(4592 eliminated genes)

	 Level 4:	93 nodes to be scored	(4983 eliminated genes)

	 Level 3:	38 nodes to be scored	(5376 eliminated genes)

	 Level 2:	14 nodes to be scored	(5485 eliminated genes)

	 Level 1:	1 nodes to be scored	(5603 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 1021 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	3 nodes to be scored	(0 eliminated genes)

	 Level 15:	9 nodes to be scored	(0 eliminated genes)

	 Level 14:	20 nodes to be scored	(6 eliminated genes)

	 Level 13:	37 nodes to be scored	(75 eliminated genes)

	 Level 12:	57 nodes to be scored	(277 eliminated genes)

	 Level 11:	77 nodes to be scored	(617 eliminated genes)

	 Level 10:	98 nodes to be scored	(1204 eliminated genes)

	 Level 9:	125 nodes to be scored	(1743 eliminated genes)

	 Level 8:	104 nodes to be scored	(2356 eliminated genes)

	 Level 7:	113 nodes to be scored	(3315 eliminated genes)

	 Level 6:	135 nodes to be scored	(4106 eliminated genes)

	 Level 5:	111 nodes to be scored	(4576 eliminated genes)

	 Level 4:	83 nodes to be scored	(5019 eliminated genes)

	 Level 3:	36 nodes to be scored	(5343 eliminated genes)

	 Level 2:	12 nodes to be scored	(5456 eliminated genes)

	 Level 1:	1 nodes to be scored	(5600 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 630 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	2 nodes to be scored	(0 eliminated genes)

	 Level 14:	10 nodes to be scored	(0 eliminated genes)

	 Level 13:	12 nodes to be scored	(15 eliminated genes)

	 Level 12:	22 nodes to be scored	(208 eliminated genes)

	 Level 11:	34 nodes to be scored	(532 eliminated genes)

	 Level 10:	45 nodes to be scored	(859 eliminated genes)

	 Level 9:	57 nodes to be scored	(1317 eliminated genes)

	 Level 8:	71 nodes to be scored	(1701 eliminated genes)

	 Level 7:	79 nodes to be scored	(2318 eliminated genes)

	 Level 6:	101 nodes to be scored	(3806 eliminated genes)

	 Level 5:	95 nodes to be scored	(4361 eliminated genes)

	 Level 4:	61 nodes to be scored	(4835 eliminated genes)

	 Level 3:	28 nodes to be scored	(5248 eliminated genes)

	 Level 2:	12 nodes to be scored	(5458 eliminated genes)

	 Level 1:	1 nodes to be scored	(5569 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 292 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	2 nodes to be scored	(0 eliminated genes)

	 Level 14:	4 nodes to be scored	(0 eliminated genes)

	 Level 13:	6 nodes to be scored	(15 eliminated genes)

	 Level 12:	9 nodes to be scored	(21 eliminated genes)

	 Level 11:	12 nodes to be scored	(304 eliminated genes)

	 Level 10:	15 nodes to be scored	(530 eliminated genes)

	 Level 9:	13 nodes to be scored	(831 eliminated genes)

	 Level 8:	25 nodes to be scored	(972 eliminated genes)

	 Level 7:	29 nodes to be scored	(1286 eliminated genes)

	 Level 6:	46 nodes to be scored	(2066 eliminated genes)

	 Level 5:	51 nodes to be scored	(2748 eliminated genes)

	 Level 4:	43 nodes to be scored	(3945 eliminated genes)

	 Level 3:	24 nodes to be scored	(4731 eliminated genes)

	 Level 2:	12 nodes to be scored	(5355 eliminated genes)

	 Level 1:	1 nodes to be scored	(5558 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 273 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	2 nodes to be scored	(0 eliminated genes)

	 Level 12:	5 nodes to be scored	(47 eliminated genes)

	 Level 11:	11 nodes to be scored	(61 eliminated genes)

	 Level 10:	16 nodes to be scored	(163 eliminated genes)

	 Level 9:	26 nodes to be scored	(408 eliminated genes)

	 Level 8:	23 nodes to be scored	(785 eliminated genes)

	 Level 7:	27 nodes to be scored	(1239 eliminated genes)

	 Level 6:	40 nodes to be scored	(2483 eliminated genes)

	 Level 5:	53 nodes to be scored	(3620 eliminated genes)

	 Level 4:	37 nodes to be scored	(4214 eliminated genes)

	 Level 3:	20 nodes to be scored	(5033 eliminated genes)

	 Level 2:	9 nodes to be scored	(5327 eliminated genes)

	 Level 1:	1 nodes to be scored	(5517 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 222 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	2 nodes to be scored	(0 eliminated genes)

	 Level 12:	5 nodes to be scored	(32 eliminated genes)

	 Level 11:	8 nodes to be scored	(39 eliminated genes)

	 Level 10:	9 nodes to be scored	(95 eliminated genes)

	 Level 9:	18 nodes to be scored	(880 eliminated genes)

	 Level 8:	23 nodes to be scored	(970 eliminated genes)

	 Level 7:	27 nodes to be scored	(1065 eliminated genes)

	 Level 6:	38 nodes to be scored	(1840 eliminated genes)

	 Level 5:	42 nodes to be scored	(2664 eliminated genes)

	 Level 4:	29 nodes to be scored	(3765 eliminated genes)

	 Level 3:	13 nodes to be scored	(4375 eliminated genes)

	 Level 2:	6 nodes to be scored	(4833 eliminated genes)

	 Level 1:	1 nodes to be scored	(5188 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 135 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	2 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(108 eliminated genes)

	 Level 11:	5 nodes to be scored	(154 eliminated genes)

	 Level 10:	10 nodes to be scored	(288 eliminated genes)

	 Level 9:	8 nodes to be scored	(757 eliminated genes)

	 Level 8:	13 nodes to be scored	(885 eliminated genes)

	 Level 7:	13 nodes to be scored	(963 eliminated genes)

	 Level 6:	16 nodes to be scored	(1392 eliminated genes)

	 Level 5:	25 nodes to be scored	(2219 eliminated genes)

	 Level 4:	20 nodes to be scored	(3260 eliminated genes)

	 Level 3:	13 nodes to be scored	(4158 eliminated genes)

	 Level 2:	6 nodes to be scored	(4807 eliminated genes)

	 Level 1:	1 nodes to be scored	(5224 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 43 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	3 nodes to be scored	(47 eliminated genes)

	 Level 11:	4 nodes to be scored	(58 eliminated genes)

	 Level 10:	2 nodes to be scored	(151 eliminated genes)

	 Level 9:	4 nodes to be scored	(162 eliminated genes)

	 Level 8:	3 nodes to be scored	(344 eliminated genes)

	 Level 7:	2 nodes to be scored	(478 eliminated genes)

	 Level 6:	2 nodes to be scored	(755 eliminated genes)

	 Level 5:	4 nodes to be scored	(1491 eliminated genes)

	 Level 4:	6 nodes to be scored	(1784 eliminated genes)

	 Level 3:	5 nodes to be scored	(3356 eliminated genes)

	 Level 2:	3 nodes to be scored	(3580 eliminated genes)

	 Level 1:	1 nodes to be scored	(4369 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 124 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	5 nodes to be scored	(0 eliminated genes)

	 Level 11:	6 nodes to be scored	(24 eliminated genes)

	 Level 10:	8 nodes to be scored	(599 eliminated genes)

	 Level 9:	10 nodes to be scored	(879 eliminated genes)

	 Level 8:	11 nodes to be scored	(1129 eliminated genes)

	 Level 7:	9 nodes to be scored	(1375 eliminated genes)

	 Level 6:	19 nodes to be scored	(1748 eliminated genes)

	 Level 5:	23 nodes to be scored	(2348 eliminated genes)

	 Level 4:	16 nodes to be scored	(3380 eliminated genes)

	 Level 3:	10 nodes to be scored	(3819 eliminated genes)

	 Level 2:	5 nodes to be scored	(4387 eliminated genes)

	 Level 1:	1 nodes to be scored	(5159 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 25 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 11:	1 nodes to be scored	(0 eliminated genes)

	 Level 10:	2 nodes to be scored	(0 eliminated genes)

	 Level 9:	2 nodes to be scored	(159 eliminated genes)

	 Level 8:	1 nodes to be scored	(223 eliminated genes)

	 Level 7:	2 nodes to be scored	(227 eliminated genes)

	 Level 6:	4 nodes to be scored	(242 eliminated genes)

	 Level 5:	3 nodes to be scored	(281 eliminated genes)

	 Level 4:	3 nodes to be scored	(1845 eliminated genes)

	 Level 3:	4 nodes to be scored	(3106 eliminated genes)

	 Level 2:	2 nodes to be scored	(3391 eliminated genes)

	 Level 1:	1 nodes to be scored	(4043 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 745 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	5 nodes to be scored	(0 eliminated genes)

	 Level 14:	7 nodes to be scored	(0 eliminated genes)

	 Level 13:	12 nodes to be scored	(60 eliminated genes)

	 Level 12:	22 nodes to be scored	(99 eliminated genes)

	 Level 11:	35 nodes to be scored	(479 eliminated genes)

	 Level 10:	49 nodes to be scored	(813 eliminated genes)

	 Level 9:	72 nodes to be scored	(1285 eliminated genes)

	 Level 8:	82 nodes to be scored	(1921 eliminated genes)

	 Level 7:	90 nodes to be scored	(2893 eliminated genes)

	 Level 6:	120 nodes to be scored	(3949 eliminated genes)

	 Level 5:	122 nodes to be scored	(4478 eliminated genes)

	 Level 4:	80 nodes to be scored	(4988 eliminated genes)

	 Level 3:	35 nodes to be scored	(5365 eliminated genes)

	 Level 2:	13 nodes to be scored	(5475 eliminated genes)

	 Level 1:	1 nodes to be scored	(5592 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 790 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	4 nodes to be scored	(0 eliminated genes)

	 Level 14:	13 nodes to be scored	(1 eliminated genes)

	 Level 13:	23 nodes to be scored	(31 eliminated genes)

	 Level 12:	34 nodes to be scored	(206 eliminated genes)

	 Level 11:	40 nodes to be scored	(617 eliminated genes)

	 Level 10:	46 nodes to be scored	(992 eliminated genes)

	 Level 9:	86 nodes to be scored	(1490 eliminated genes)

	 Level 8:	92 nodes to be scored	(1928 eliminated genes)

	 Level 7:	100 nodes to be scored	(2745 eliminated genes)

	 Level 6:	125 nodes to be scored	(3759 eliminated genes)

	 Level 5:	108 nodes to be scored	(4422 eliminated genes)

	 Level 4:	76 nodes to be scored	(4966 eliminated genes)

	 Level 3:	30 nodes to be scored	(5338 eliminated genes)

	 Level 2:	11 nodes to be scored	(5476 eliminated genes)

	 Level 1:	1 nodes to be scored	(5577 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 200 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	3 nodes to be scored	(0 eliminated genes)

	 Level 11:	7 nodes to be scored	(23 eliminated genes)

	 Level 10:	8 nodes to be scored	(455 eliminated genes)

	 Level 9:	11 nodes to be scored	(808 eliminated genes)

	 Level 8:	16 nodes to be scored	(908 eliminated genes)

	 Level 7:	27 nodes to be scored	(1339 eliminated genes)

	 Level 6:	34 nodes to be scored	(2000 eliminated genes)

	 Level 5:	41 nodes to be scored	(3387 eliminated genes)

	 Level 4:	27 nodes to be scored	(4016 eliminated genes)

	 Level 3:	17 nodes to be scored	(4807 eliminated genes)

	 Level 2:	7 nodes to be scored	(5262 eliminated genes)

	 Level 1:	1 nodes to be scored	(5525 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 367 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	7 nodes to be scored	(8 eliminated genes)

	 Level 12:	10 nodes to be scored	(18 eliminated genes)

	 Level 11:	12 nodes to be scored	(352 eliminated genes)

	 Level 10:	18 nodes to be scored	(697 eliminated genes)

	 Level 9:	31 nodes to be scored	(944 eliminated genes)

	 Level 8:	34 nodes to be scored	(1740 eliminated genes)

	 Level 7:	43 nodes to be scored	(2070 eliminated genes)

	 Level 6:	59 nodes to be scored	(2632 eliminated genes)

	 Level 5:	66 nodes to be scored	(3265 eliminated genes)

	 Level 4:	50 nodes to be scored	(4573 eliminated genes)

	 Level 3:	24 nodes to be scored	(5195 eliminated genes)

	 Level 2:	8 nodes to be scored	(5461 eliminated genes)

	 Level 1:	1 nodes to be scored	(5570 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 137 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	3 nodes to be scored	(0 eliminated genes)

	 Level 10:	7 nodes to be scored	(119 eliminated genes)

	 Level 9:	13 nodes to be scored	(133 eliminated genes)

	 Level 8:	14 nodes to be scored	(642 eliminated genes)

	 Level 7:	13 nodes to be scored	(1043 eliminated genes)

	 Level 6:	19 nodes to be scored	(1406 eliminated genes)

	 Level 5:	26 nodes to be scored	(2163 eliminated genes)

	 Level 4:	22 nodes to be scored	(3400 eliminated genes)

	 Level 3:	13 nodes to be scored	(4857 eliminated genes)

	 Level 2:	5 nodes to be scored	(5072 eliminated genes)

	 Level 1:	1 nodes to be scored	(5499 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 302 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	7 nodes to be scored	(8 eliminated genes)

	 Level 12:	10 nodes to be scored	(18 eliminated genes)

	 Level 11:	10 nodes to be scored	(352 eliminated genes)

	 Level 10:	14 nodes to be scored	(697 eliminated genes)

	 Level 9:	23 nodes to be scored	(932 eliminated genes)

	 Level 8:	24 nodes to be scored	(1707 eliminated genes)

	 Level 7:	33 nodes to be scored	(1913 eliminated genes)

	 Level 6:	47 nodes to be scored	(2323 eliminated genes)

	 Level 5:	54 nodes to be scored	(2925 eliminated genes)

	 Level 4:	45 nodes to be scored	(3908 eliminated genes)

	 Level 3:	22 nodes to be scored	(4803 eliminated genes)

	 Level 2:	8 nodes to be scored	(5416 eliminated genes)

	 Level 1:	1 nodes to be scored	(5570 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 297 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	2 nodes to be scored	(0 eliminated genes)

	 Level 13:	3 nodes to be scored	(0 eliminated genes)

	 Level 12:	6 nodes to be scored	(47 eliminated genes)

	 Level 11:	11 nodes to be scored	(118 eliminated genes)

	 Level 10:	13 nodes to be scored	(225 eliminated genes)

	 Level 9:	31 nodes to be scored	(537 eliminated genes)

	 Level 8:	26 nodes to be scored	(884 eliminated genes)

	 Level 7:	27 nodes to be scored	(1093 eliminated genes)

	 Level 6:	50 nodes to be scored	(1813 eliminated genes)

	 Level 5:	55 nodes to be scored	(2663 eliminated genes)

	 Level 4:	44 nodes to be scored	(4601 eliminated genes)

	 Level 3:	19 nodes to be scored	(5115 eliminated genes)

	 Level 2:	9 nodes to be scored	(5407 eliminated genes)

	 Level 1:	1 nodes to be scored	(5563 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 302 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	8 nodes to be scored	(0 eliminated genes)

	 Level 12:	10 nodes to be scored	(48 eliminated genes)

	 Level 11:	13 nodes to be scored	(292 eliminated genes)

	 Level 10:	10 nodes to be scored	(601 eliminated genes)

	 Level 9:	20 nodes to be scored	(899 eliminated genes)

	 Level 8:	29 nodes to be scored	(1221 eliminated genes)

	 Level 7:	27 nodes to be scored	(1488 eliminated genes)

	 Level 6:	47 nodes to be scored	(2449 eliminated genes)

	 Level 5:	52 nodes to be scored	(3408 eliminated genes)

	 Level 4:	46 nodes to be scored	(4372 eliminated genes)

	 Level 3:	25 nodes to be scored	(5092 eliminated genes)

	 Level 2:	11 nodes to be scored	(5397 eliminated genes)

	 Level 1:	1 nodes to be scored	(5576 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 103 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	4 nodes to be scored	(0 eliminated genes)

	 Level 12:	7 nodes to be scored	(45 eliminated genes)

	 Level 11:	6 nodes to be scored	(300 eliminated genes)

	 Level 10:	4 nodes to be scored	(517 eliminated genes)

	 Level 9:	4 nodes to be scored	(762 eliminated genes)

	 Level 8:	4 nodes to be scored	(784 eliminated genes)

	 Level 7:	8 nodes to be scored	(792 eliminated genes)

	 Level 6:	15 nodes to be scored	(832 eliminated genes)

	 Level 5:	20 nodes to be scored	(2151 eliminated genes)

	 Level 4:	14 nodes to be scored	(3355 eliminated genes)

	 Level 3:	10 nodes to be scored	(3743 eliminated genes)

	 Level 2:	5 nodes to be scored	(4436 eliminated genes)

	 Level 1:	1 nodes to be scored	(5159 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 143 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	2 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(53 eliminated genes)

	 Level 11:	6 nodes to be scored	(173 eliminated genes)

	 Level 10:	5 nodes to be scored	(297 eliminated genes)

	 Level 9:	12 nodes to be scored	(770 eliminated genes)

	 Level 8:	13 nodes to be scored	(807 eliminated genes)

	 Level 7:	18 nodes to be scored	(1010 eliminated genes)

	 Level 6:	24 nodes to be scored	(1496 eliminated genes)

	 Level 5:	25 nodes to be scored	(2074 eliminated genes)

	 Level 4:	18 nodes to be scored	(3100 eliminated genes)

	 Level 3:	10 nodes to be scored	(3980 eliminated genes)

	 Level 2:	6 nodes to be scored	(4621 eliminated genes)

	 Level 1:	1 nodes to be scored	(5120 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 251 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	3 nodes to be scored	(0 eliminated genes)

	 Level 14:	5 nodes to be scored	(1 eliminated genes)

	 Level 13:	9 nodes to be scored	(23 eliminated genes)

	 Level 12:	13 nodes to be scored	(82 eliminated genes)

	 Level 11:	11 nodes to be scored	(471 eliminated genes)

	 Level 10:	15 nodes to be scored	(608 eliminated genes)

	 Level 9:	21 nodes to be scored	(807 eliminated genes)

	 Level 8:	24 nodes to be scored	(1054 eliminated genes)

	 Level 7:	30 nodes to be scored	(1192 eliminated genes)

	 Level 6:	39 nodes to be scored	(1481 eliminated genes)

	 Level 5:	34 nodes to be scored	(2418 eliminated genes)

	 Level 4:	23 nodes to be scored	(3739 eliminated genes)

	 Level 3:	15 nodes to be scored	(4245 eliminated genes)

	 Level 2:	7 nodes to be scored	(4600 eliminated genes)

	 Level 1:	1 nodes to be scored	(5220 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 1072 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	6 nodes to be scored	(0 eliminated genes)

	 Level 14:	14 nodes to be scored	(5 eliminated genes)

	 Level 13:	28 nodes to be scored	(83 eliminated genes)

	 Level 12:	39 nodes to be scored	(255 eliminated genes)

	 Level 11:	62 nodes to be scored	(650 eliminated genes)

	 Level 10:	81 nodes to be scored	(1035 eliminated genes)

	 Level 9:	119 nodes to be scored	(1582 eliminated genes)

	 Level 8:	121 nodes to be scored	(2221 eliminated genes)

	 Level 7:	138 nodes to be scored	(3272 eliminated genes)

	 Level 6:	175 nodes to be scored	(4061 eliminated genes)

	 Level 5:	151 nodes to be scored	(4552 eliminated genes)

	 Level 4:	91 nodes to be scored	(5069 eliminated genes)

	 Level 3:	33 nodes to be scored	(5355 eliminated genes)

	 Level 2:	12 nodes to be scored	(5454 eliminated genes)

	 Level 1:	1 nodes to be scored	(5578 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 68 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 10:	1 nodes to be scored	(0 eliminated genes)

	 Level 9:	2 nodes to be scored	(0 eliminated genes)

	 Level 8:	4 nodes to be scored	(7 eliminated genes)

	 Level 7:	6 nodes to be scored	(148 eliminated genes)

	 Level 6:	12 nodes to be scored	(376 eliminated genes)

	 Level 5:	16 nodes to be scored	(1035 eliminated genes)

	 Level 4:	10 nodes to be scored	(2655 eliminated genes)

	 Level 3:	10 nodes to be scored	(4397 eliminated genes)

	 Level 2:	6 nodes to be scored	(4637 eliminated genes)

	 Level 1:	1 nodes to be scored	(5453 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 291 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	5 nodes to be scored	(0 eliminated genes)

	 Level 13:	12 nodes to be scored	(3 eliminated genes)

	 Level 12:	13 nodes to be scored	(52 eliminated genes)

	 Level 11:	20 nodes to be scored	(478 eliminated genes)

	 Level 10:	19 nodes to be scored	(715 eliminated genes)

	 Level 9:	21 nodes to be scored	(948 eliminated genes)

	 Level 8:	23 nodes to be scored	(1367 eliminated genes)

	 Level 7:	25 nodes to be scored	(1687 eliminated genes)

	 Level 6:	41 nodes to be scored	(2114 eliminated genes)

	 Level 5:	46 nodes to be scored	(2687 eliminated genes)

	 Level 4:	37 nodes to be scored	(3659 eliminated genes)

	 Level 3:	19 nodes to be scored	(4551 eliminated genes)

	 Level 2:	8 nodes to be scored	(5249 eliminated genes)

	 Level 1:	1 nodes to be scored	(5563 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 317 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	4 nodes to be scored	(0 eliminated genes)

	 Level 13:	5 nodes to be scored	(0 eliminated genes)

	 Level 12:	11 nodes to be scored	(49 eliminated genes)

	 Level 11:	17 nodes to be scored	(96 eliminated genes)

	 Level 10:	17 nodes to be scored	(217 eliminated genes)

	 Level 9:	25 nodes to be scored	(374 eliminated genes)

	 Level 8:	24 nodes to be scored	(636 eliminated genes)

	 Level 7:	28 nodes to be scored	(917 eliminated genes)

	 Level 6:	48 nodes to be scored	(1713 eliminated genes)

	 Level 5:	61 nodes to be scored	(2862 eliminated genes)

	 Level 4:	47 nodes to be scored	(3801 eliminated genes)

	 Level 3:	21 nodes to be scored	(5029 eliminated genes)

	 Level 2:	8 nodes to be scored	(5360 eliminated genes)

	 Level 1:	1 nodes to be scored	(5562 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 282 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	3 nodes to be scored	(0 eliminated genes)

	 Level 12:	9 nodes to be scored	(0 eliminated genes)

	 Level 11:	11 nodes to be scored	(18 eliminated genes)

	 Level 10:	17 nodes to be scored	(561 eliminated genes)

	 Level 9:	24 nodes to be scored	(1052 eliminated genes)

	 Level 8:	27 nodes to be scored	(1488 eliminated genes)

	 Level 7:	26 nodes to be scored	(1691 eliminated genes)

	 Level 6:	42 nodes to be scored	(2177 eliminated genes)

	 Level 5:	45 nodes to be scored	(2517 eliminated genes)

	 Level 4:	44 nodes to be scored	(3645 eliminated genes)

	 Level 3:	23 nodes to be scored	(4612 eliminated genes)

	 Level 2:	10 nodes to be scored	(5401 eliminated genes)

	 Level 1:	1 nodes to be scored	(5576 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 186 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	2 nodes to be scored	(0 eliminated genes)

	 Level 13:	2 nodes to be scored	(0 eliminated genes)

	 Level 12:	4 nodes to be scored	(5 eliminated genes)

	 Level 11:	9 nodes to be scored	(5 eliminated genes)

	 Level 10:	11 nodes to be scored	(6 eliminated genes)

	 Level 9:	11 nodes to be scored	(218 eliminated genes)

	 Level 8:	11 nodes to be scored	(389 eliminated genes)

	 Level 7:	17 nodes to be scored	(457 eliminated genes)

	 Level 6:	28 nodes to be scored	(636 eliminated genes)

	 Level 5:	36 nodes to be scored	(1163 eliminated genes)

	 Level 4:	32 nodes to be scored	(3023 eliminated genes)

	 Level 3:	15 nodes to be scored	(4024 eliminated genes)

	 Level 2:	7 nodes to be scored	(4538 eliminated genes)

	 Level 1:	1 nodes to be scored	(5063 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 297 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	3 nodes to be scored	(28 eliminated genes)

	 Level 12:	4 nodes to be scored	(42 eliminated genes)

	 Level 11:	9 nodes to be scored	(201 eliminated genes)

	 Level 10:	12 nodes to be scored	(590 eliminated genes)

	 Level 9:	21 nodes to be scored	(947 eliminated genes)

	 Level 8:	23 nodes to be scored	(1082 eliminated genes)

	 Level 7:	41 nodes to be scored	(1480 eliminated genes)

	 Level 6:	52 nodes to be scored	(2322 eliminated genes)

	 Level 5:	56 nodes to be scored	(3893 eliminated genes)

	 Level 4:	39 nodes to be scored	(4374 eliminated genes)

	 Level 3:	23 nodes to be scored	(5030 eliminated genes)

	 Level 2:	11 nodes to be scored	(5365 eliminated genes)

	 Level 1:	1 nodes to be scored	(5564 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 336 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	3 nodes to be scored	(0 eliminated genes)

	 Level 14:	3 nodes to be scored	(5 eliminated genes)

	 Level 13:	5 nodes to be scored	(38 eliminated genes)

	 Level 12:	6 nodes to be scored	(117 eliminated genes)

	 Level 11:	10 nodes to be scored	(444 eliminated genes)

	 Level 10:	19 nodes to be scored	(567 eliminated genes)

	 Level 9:	28 nodes to be scored	(855 eliminated genes)

	 Level 8:	28 nodes to be scored	(1292 eliminated genes)

	 Level 7:	40 nodes to be scored	(2064 eliminated genes)

	 Level 6:	57 nodes to be scored	(2825 eliminated genes)

	 Level 5:	60 nodes to be scored	(3414 eliminated genes)

	 Level 4:	38 nodes to be scored	(4279 eliminated genes)

	 Level 3:	26 nodes to be scored	(5061 eliminated genes)

	 Level 2:	11 nodes to be scored	(5340 eliminated genes)

	 Level 1:	1 nodes to be scored	(5559 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 104 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 10:	1 nodes to be scored	(0 eliminated genes)

	 Level 9:	2 nodes to be scored	(0 eliminated genes)

	 Level 8:	6 nodes to be scored	(23 eliminated genes)

	 Level 7:	14 nodes to be scored	(87 eliminated genes)

	 Level 6:	17 nodes to be scored	(682 eliminated genes)

	 Level 5:	26 nodes to be scored	(1916 eliminated genes)

	 Level 4:	20 nodes to be scored	(2568 eliminated genes)

	 Level 3:	12 nodes to be scored	(4678 eliminated genes)

	 Level 2:	5 nodes to be scored	(5159 eliminated genes)

	 Level 1:	1 nodes to be scored	(5494 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 281 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	5 nodes to be scored	(0 eliminated genes)

	 Level 12:	8 nodes to be scored	(0 eliminated genes)

	 Level 11:	16 nodes to be scored	(31 eliminated genes)

	 Level 10:	17 nodes to be scored	(132 eliminated genes)

	 Level 9:	25 nodes to be scored	(244 eliminated genes)

	 Level 8:	29 nodes to be scored	(610 eliminated genes)

	 Level 7:	32 nodes to be scored	(1151 eliminated genes)

	 Level 6:	32 nodes to be scored	(1896 eliminated genes)

	 Level 5:	50 nodes to be scored	(3082 eliminated genes)

	 Level 4:	38 nodes to be scored	(4069 eliminated genes)

	 Level 3:	20 nodes to be scored	(4804 eliminated genes)

	 Level 2:	8 nodes to be scored	(5327 eliminated genes)

	 Level 1:	1 nodes to be scored	(5525 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 173 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	2 nodes to be scored	(19 eliminated genes)

	 Level 10:	1 nodes to be scored	(19 eliminated genes)

	 Level 9:	4 nodes to be scored	(72 eliminated genes)

	 Level 8:	10 nodes to be scored	(784 eliminated genes)

	 Level 7:	13 nodes to be scored	(976 eliminated genes)

	 Level 6:	29 nodes to be scored	(1577 eliminated genes)

	 Level 5:	43 nodes to be scored	(1990 eliminated genes)

	 Level 4:	37 nodes to be scored	(3738 eliminated genes)

	 Level 3:	20 nodes to be scored	(4833 eliminated genes)

	 Level 2:	11 nodes to be scored	(5217 eliminated genes)

	 Level 1:	1 nodes to be scored	(5526 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 170 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(14 eliminated genes)

	 Level 12:	2 nodes to be scored	(42 eliminated genes)

	 Level 11:	5 nodes to be scored	(42 eliminated genes)

	 Level 10:	6 nodes to be scored	(159 eliminated genes)

	 Level 9:	13 nodes to be scored	(171 eliminated genes)

	 Level 8:	21 nodes to be scored	(409 eliminated genes)

	 Level 7:	23 nodes to be scored	(591 eliminated genes)

	 Level 6:	26 nodes to be scored	(1154 eliminated genes)

	 Level 5:	25 nodes to be scored	(2700 eliminated genes)

	 Level 4:	21 nodes to be scored	(3762 eliminated genes)

	 Level 3:	15 nodes to be scored	(4517 eliminated genes)

	 Level 2:	9 nodes to be scored	(5093 eliminated genes)

	 Level 1:	1 nodes to be scored	(5525 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 150 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	2 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	3 nodes to be scored	(47 eliminated genes)

	 Level 11:	5 nodes to be scored	(58 eliminated genes)

	 Level 10:	6 nodes to be scored	(151 eliminated genes)

	 Level 9:	15 nodes to be scored	(176 eliminated genes)

	 Level 8:	14 nodes to be scored	(432 eliminated genes)

	 Level 7:	14 nodes to be scored	(868 eliminated genes)

	 Level 6:	21 nodes to be scored	(2076 eliminated genes)

	 Level 5:	28 nodes to be scored	(2868 eliminated genes)

	 Level 4:	22 nodes to be scored	(4128 eliminated genes)

	 Level 3:	13 nodes to be scored	(4790 eliminated genes)

	 Level 2:	5 nodes to be scored	(5107 eliminated genes)

	 Level 1:	1 nodes to be scored	(5499 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 372 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	2 nodes to be scored	(0 eliminated genes)

	 Level 13:	3 nodes to be scored	(9 eliminated genes)

	 Level 12:	7 nodes to be scored	(36 eliminated genes)

	 Level 11:	11 nodes to be scored	(301 eliminated genes)

	 Level 10:	16 nodes to be scored	(496 eliminated genes)

	 Level 9:	24 nodes to be scored	(938 eliminated genes)

	 Level 8:	30 nodes to be scored	(1107 eliminated genes)

	 Level 7:	52 nodes to be scored	(1506 eliminated genes)

	 Level 6:	64 nodes to be scored	(2775 eliminated genes)

	 Level 5:	71 nodes to be scored	(3932 eliminated genes)

	 Level 4:	56 nodes to be scored	(4594 eliminated genes)

	 Level 3:	24 nodes to be scored	(5233 eliminated genes)

	 Level 2:	10 nodes to be scored	(5430 eliminated genes)

	 Level 1:	1 nodes to be scored	(5570 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 363 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	2 nodes to be scored	(0 eliminated genes)

	 Level 13:	10 nodes to be scored	(0 eliminated genes)

	 Level 12:	18 nodes to be scored	(75 eliminated genes)

	 Level 11:	20 nodes to be scored	(466 eliminated genes)

	 Level 10:	22 nodes to be scored	(904 eliminated genes)

	 Level 9:	32 nodes to be scored	(1101 eliminated genes)

	 Level 8:	33 nodes to be scored	(1427 eliminated genes)

	 Level 7:	39 nodes to be scored	(2254 eliminated genes)

	 Level 6:	55 nodes to be scored	(2851 eliminated genes)

	 Level 5:	60 nodes to be scored	(3409 eliminated genes)

	 Level 4:	43 nodes to be scored	(4397 eliminated genes)

	 Level 3:	20 nodes to be scored	(5018 eliminated genes)

	 Level 2:	8 nodes to be scored	(5456 eliminated genes)

	 Level 1:	1 nodes to be scored	(5570 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 361 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	2 nodes to be scored	(0 eliminated genes)

	 Level 14:	1 nodes to be scored	(5 eliminated genes)

	 Level 13:	3 nodes to be scored	(28 eliminated genes)

	 Level 12:	6 nodes to be scored	(42 eliminated genes)

	 Level 11:	13 nodes to be scored	(43 eliminated genes)

	 Level 10:	22 nodes to be scored	(384 eliminated genes)

	 Level 9:	35 nodes to be scored	(818 eliminated genes)

	 Level 8:	42 nodes to be scored	(1005 eliminated genes)

	 Level 7:	47 nodes to be scored	(1237 eliminated genes)

	 Level 6:	60 nodes to be scored	(2009 eliminated genes)

	 Level 5:	58 nodes to be scored	(3287 eliminated genes)

	 Level 4:	40 nodes to be scored	(4450 eliminated genes)

	 Level 3:	21 nodes to be scored	(5109 eliminated genes)

	 Level 2:	9 nodes to be scored	(5401 eliminated genes)

	 Level 1:	1 nodes to be scored	(5563 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 1163 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	4 nodes to be scored	(0 eliminated genes)

	 Level 15:	10 nodes to be scored	(0 eliminated genes)

	 Level 14:	17 nodes to be scored	(18 eliminated genes)

	 Level 13:	35 nodes to be scored	(112 eliminated genes)

	 Level 12:	46 nodes to be scored	(341 eliminated genes)

	 Level 11:	73 nodes to be scored	(773 eliminated genes)

	 Level 10:	104 nodes to be scored	(1165 eliminated genes)

	 Level 9:	147 nodes to be scored	(1732 eliminated genes)

	 Level 8:	145 nodes to be scored	(2368 eliminated genes)

	 Level 7:	143 nodes to be scored	(3323 eliminated genes)

	 Level 6:	152 nodes to be scored	(4259 eliminated genes)

	 Level 5:	143 nodes to be scored	(4696 eliminated genes)

	 Level 4:	95 nodes to be scored	(5134 eliminated genes)

	 Level 3:	36 nodes to be scored	(5376 eliminated genes)

	 Level 2:	12 nodes to be scored	(5531 eliminated genes)

	 Level 1:	1 nodes to be scored	(5599 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 699 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	7 nodes to be scored	(0 eliminated genes)

	 Level 13:	8 nodes to be scored	(1 eliminated genes)

	 Level 12:	14 nodes to be scored	(140 eliminated genes)

	 Level 11:	28 nodes to be scored	(467 eliminated genes)

	 Level 10:	44 nodes to be scored	(745 eliminated genes)

	 Level 9:	67 nodes to be scored	(1025 eliminated genes)

	 Level 8:	85 nodes to be scored	(1699 eliminated genes)

	 Level 7:	98 nodes to be scored	(2566 eliminated genes)

	 Level 6:	107 nodes to be scored	(3918 eliminated genes)

	 Level 5:	111 nodes to be scored	(4353 eliminated genes)

	 Level 4:	79 nodes to be scored	(4897 eliminated genes)

	 Level 3:	36 nodes to be scored	(5335 eliminated genes)

	 Level 2:	13 nodes to be scored	(5522 eliminated genes)

	 Level 1:	1 nodes to be scored	(5593 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 322 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	4 nodes to be scored	(1 eliminated genes)

	 Level 12:	6 nodes to be scored	(7 eliminated genes)

	 Level 11:	12 nodes to be scored	(287 eliminated genes)

	 Level 10:	13 nodes to be scored	(577 eliminated genes)

	 Level 9:	19 nodes to be scored	(903 eliminated genes)

	 Level 8:	25 nodes to be scored	(1211 eliminated genes)

	 Level 7:	36 nodes to be scored	(1746 eliminated genes)

	 Level 6:	51 nodes to be scored	(2772 eliminated genes)

	 Level 5:	59 nodes to be scored	(3715 eliminated genes)

	 Level 4:	49 nodes to be scored	(4287 eliminated genes)

	 Level 3:	31 nodes to be scored	(5046 eliminated genes)

	 Level 2:	12 nodes to be scored	(5319 eliminated genes)

	 Level 1:	1 nodes to be scored	(5592 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 274 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	2 nodes to be scored	(0 eliminated genes)

	 Level 13:	2 nodes to be scored	(1 eliminated genes)

	 Level 12:	4 nodes to be scored	(1 eliminated genes)

	 Level 11:	11 nodes to be scored	(283 eliminated genes)

	 Level 10:	12 nodes to be scored	(476 eliminated genes)

	 Level 9:	15 nodes to be scored	(796 eliminated genes)

	 Level 8:	22 nodes to be scored	(897 eliminated genes)

	 Level 7:	32 nodes to be scored	(1420 eliminated genes)

	 Level 6:	43 nodes to be scored	(2547 eliminated genes)

	 Level 5:	50 nodes to be scored	(3463 eliminated genes)

	 Level 4:	41 nodes to be scored	(4178 eliminated genes)

	 Level 3:	27 nodes to be scored	(4949 eliminated genes)

	 Level 2:	11 nodes to be scored	(5283 eliminated genes)

	 Level 1:	1 nodes to be scored	(5566 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 39 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 9:	2 nodes to be scored	(0 eliminated genes)

	 Level 8:	2 nodes to be scored	(0 eliminated genes)

	 Level 7:	3 nodes to be scored	(33 eliminated genes)

	 Level 6:	5 nodes to be scored	(363 eliminated genes)

	 Level 5:	6 nodes to be scored	(640 eliminated genes)

	 Level 4:	8 nodes to be scored	(1972 eliminated genes)

	 Level 3:	8 nodes to be scored	(3541 eliminated genes)

	 Level 2:	4 nodes to be scored	(3872 eliminated genes)

	 Level 1:	1 nodes to be scored	(5018 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 98 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	2 nodes to be scored	(0 eliminated genes)

	 Level 12:	3 nodes to be scored	(6 eliminated genes)

	 Level 11:	3 nodes to be scored	(8 eliminated genes)

	 Level 10:	3 nodes to be scored	(462 eliminated genes)

	 Level 9:	3 nodes to be scored	(752 eliminated genes)

	 Level 8:	2 nodes to be scored	(784 eliminated genes)

	 Level 7:	7 nodes to be scored	(791 eliminated genes)

	 Level 6:	14 nodes to be scored	(804 eliminated genes)

	 Level 5:	21 nodes to be scored	(1612 eliminated genes)

	 Level 4:	19 nodes to be scored	(2769 eliminated genes)

	 Level 3:	13 nodes to be scored	(3717 eliminated genes)

	 Level 2:	6 nodes to be scored	(4268 eliminated genes)

	 Level 1:	1 nodes to be scored	(4990 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 45 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	1 nodes to be scored	(0 eliminated genes)

	 Level 10:	1 nodes to be scored	(108 eliminated genes)

	 Level 9:	3 nodes to be scored	(117 eliminated genes)

	 Level 8:	3 nodes to be scored	(344 eliminated genes)

	 Level 7:	2 nodes to be scored	(613 eliminated genes)

	 Level 6:	6 nodes to be scored	(1383 eliminated genes)

	 Level 5:	9 nodes to be scored	(2076 eliminated genes)

	 Level 4:	9 nodes to be scored	(3070 eliminated genes)

	 Level 3:	6 nodes to be scored	(3598 eliminated genes)

	 Level 2:	3 nodes to be scored	(3836 eliminated genes)

	 Level 1:	1 nodes to be scored	(4371 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 187 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	3 nodes to be scored	(86 eliminated genes)

	 Level 11:	5 nodes to be scored	(154 eliminated genes)

	 Level 10:	10 nodes to be scored	(421 eliminated genes)

	 Level 9:	12 nodes to be scored	(860 eliminated genes)

	 Level 8:	19 nodes to be scored	(1181 eliminated genes)

	 Level 7:	17 nodes to be scored	(1561 eliminated genes)

	 Level 6:	28 nodes to be scored	(2712 eliminated genes)

	 Level 5:	37 nodes to be scored	(3584 eliminated genes)

	 Level 4:	26 nodes to be scored	(4180 eliminated genes)

	 Level 3:	18 nodes to be scored	(4857 eliminated genes)

	 Level 2:	9 nodes to be scored	(5239 eliminated genes)

	 Level 1:	1 nodes to be scored	(5529 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 277 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	3 nodes to be scored	(0 eliminated genes)

	 Level 12:	6 nodes to be scored	(47 eliminated genes)

	 Level 11:	10 nodes to be scored	(85 eliminated genes)

	 Level 10:	15 nodes to be scored	(588 eliminated genes)

	 Level 9:	27 nodes to be scored	(936 eliminated genes)

	 Level 8:	30 nodes to be scored	(1206 eliminated genes)

	 Level 7:	26 nodes to be scored	(1739 eliminated genes)

	 Level 6:	40 nodes to be scored	(2658 eliminated genes)

	 Level 5:	55 nodes to be scored	(3243 eliminated genes)

	 Level 4:	37 nodes to be scored	(3885 eliminated genes)

	 Level 3:	17 nodes to be scored	(4951 eliminated genes)

	 Level 2:	7 nodes to be scored	(5449 eliminated genes)

	 Level 1:	1 nodes to be scored	(5553 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 223 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(0 eliminated genes)

	 Level 11:	4 nodes to be scored	(2 eliminated genes)

	 Level 10:	9 nodes to be scored	(2 eliminated genes)

	 Level 9:	11 nodes to be scored	(12 eliminated genes)

	 Level 8:	18 nodes to be scored	(117 eliminated genes)

	 Level 7:	29 nodes to be scored	(220 eliminated genes)

	 Level 6:	30 nodes to be scored	(610 eliminated genes)

	 Level 5:	45 nodes to be scored	(2033 eliminated genes)

	 Level 4:	37 nodes to be scored	(3272 eliminated genes)

	 Level 3:	25 nodes to be scored	(4617 eliminated genes)

	 Level 2:	11 nodes to be scored	(5227 eliminated genes)

	 Level 1:	1 nodes to be scored	(5553 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 150 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 11:	2 nodes to be scored	(0 eliminated genes)

	 Level 10:	3 nodes to be scored	(0 eliminated genes)

	 Level 9:	10 nodes to be scored	(9 eliminated genes)

	 Level 8:	13 nodes to be scored	(234 eliminated genes)

	 Level 7:	20 nodes to be scored	(305 eliminated genes)

	 Level 6:	24 nodes to be scored	(717 eliminated genes)

	 Level 5:	26 nodes to be scored	(1937 eliminated genes)

	 Level 4:	25 nodes to be scored	(3420 eliminated genes)

	 Level 3:	17 nodes to be scored	(4779 eliminated genes)

	 Level 2:	9 nodes to be scored	(5256 eliminated genes)

	 Level 1:	1 nodes to be scored	(5523 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 400 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	3 nodes to be scored	(0 eliminated genes)

	 Level 12:	7 nodes to be scored	(2 eliminated genes)

	 Level 11:	16 nodes to be scored	(38 eliminated genes)

	 Level 10:	32 nodes to be scored	(123 eliminated genes)

	 Level 9:	46 nodes to be scored	(666 eliminated genes)

	 Level 8:	41 nodes to be scored	(1093 eliminated genes)

	 Level 7:	44 nodes to be scored	(1750 eliminated genes)

	 Level 6:	61 nodes to be scored	(3064 eliminated genes)

	 Level 5:	70 nodes to be scored	(4056 eliminated genes)

	 Level 4:	45 nodes to be scored	(4708 eliminated genes)

	 Level 3:	24 nodes to be scored	(5247 eliminated genes)

	 Level 2:	9 nodes to be scored	(5433 eliminated genes)

	 Level 1:	1 nodes to be scored	(5597 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 109 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	2 nodes to be scored	(0 eliminated genes)

	 Level 10:	3 nodes to be scored	(5 eliminated genes)

	 Level 9:	9 nodes to be scored	(253 eliminated genes)

	 Level 8:	8 nodes to be scored	(565 eliminated genes)

	 Level 7:	8 nodes to be scored	(828 eliminated genes)

	 Level 6:	14 nodes to be scored	(1708 eliminated genes)

	 Level 5:	20 nodes to be scored	(2653 eliminated genes)

	 Level 4:	21 nodes to be scored	(3607 eliminated genes)

	 Level 3:	16 nodes to be scored	(4422 eliminated genes)

	 Level 2:	6 nodes to be scored	(5106 eliminated genes)

	 Level 1:	1 nodes to be scored	(5499 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 251 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	2 nodes to be scored	(0 eliminated genes)

	 Level 12:	5 nodes to be scored	(2 eliminated genes)

	 Level 11:	10 nodes to be scored	(19 eliminated genes)

	 Level 10:	14 nodes to be scored	(97 eliminated genes)

	 Level 9:	21 nodes to be scored	(362 eliminated genes)

	 Level 8:	21 nodes to be scored	(697 eliminated genes)

	 Level 7:	26 nodes to be scored	(1343 eliminated genes)

	 Level 6:	37 nodes to be scored	(2530 eliminated genes)

	 Level 5:	52 nodes to be scored	(3583 eliminated genes)

	 Level 4:	32 nodes to be scored	(4490 eliminated genes)

	 Level 3:	21 nodes to be scored	(5143 eliminated genes)

	 Level 2:	8 nodes to be scored	(5383 eliminated genes)

	 Level 1:	1 nodes to be scored	(5596 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 172 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	5 nodes to be scored	(19 eliminated genes)

	 Level 10:	16 nodes to be scored	(21 eliminated genes)

	 Level 9:	22 nodes to be scored	(145 eliminated genes)

	 Level 8:	20 nodes to be scored	(184 eliminated genes)

	 Level 7:	15 nodes to be scored	(507 eliminated genes)

	 Level 6:	23 nodes to be scored	(1011 eliminated genes)

	 Level 5:	26 nodes to be scored	(1849 eliminated genes)

	 Level 4:	23 nodes to be scored	(3795 eliminated genes)

	 Level 3:	13 nodes to be scored	(4543 eliminated genes)

	 Level 2:	6 nodes to be scored	(5120 eliminated genes)

	 Level 1:	1 nodes to be scored	(5375 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 31 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 8:	1 nodes to be scored	(0 eliminated genes)

	 Level 7:	3 nodes to be scored	(0 eliminated genes)

	 Level 6:	5 nodes to be scored	(14 eliminated genes)

	 Level 5:	5 nodes to be scored	(96 eliminated genes)

	 Level 4:	7 nodes to be scored	(262 eliminated genes)

	 Level 3:	6 nodes to be scored	(614 eliminated genes)

	 Level 2:	3 nodes to be scored	(2761 eliminated genes)

	 Level 1:	1 nodes to be scored	(4944 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 174 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	3 nodes to be scored	(0 eliminated genes)

	 Level 10:	6 nodes to be scored	(108 eliminated genes)

	 Level 9:	12 nodes to be scored	(150 eliminated genes)

	 Level 8:	17 nodes to be scored	(453 eliminated genes)

	 Level 7:	22 nodes to be scored	(985 eliminated genes)

	 Level 6:	27 nodes to be scored	(2225 eliminated genes)

	 Level 5:	34 nodes to be scored	(3093 eliminated genes)

	 Level 4:	29 nodes to be scored	(4255 eliminated genes)

	 Level 3:	16 nodes to be scored	(4883 eliminated genes)

	 Level 2:	6 nodes to be scored	(5168 eliminated genes)

	 Level 1:	1 nodes to be scored	(5506 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 597 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	7 nodes to be scored	(0 eliminated genes)

	 Level 13:	16 nodes to be scored	(27 eliminated genes)

	 Level 12:	20 nodes to be scored	(172 eliminated genes)

	 Level 11:	29 nodes to be scored	(307 eliminated genes)

	 Level 10:	49 nodes to be scored	(659 eliminated genes)

	 Level 9:	65 nodes to be scored	(1370 eliminated genes)

	 Level 8:	56 nodes to be scored	(1904 eliminated genes)

	 Level 7:	59 nodes to be scored	(2541 eliminated genes)

	 Level 6:	84 nodes to be scored	(3637 eliminated genes)

	 Level 5:	100 nodes to be scored	(4103 eliminated genes)

	 Level 4:	70 nodes to be scored	(4739 eliminated genes)

	 Level 3:	29 nodes to be scored	(5315 eliminated genes)

	 Level 2:	11 nodes to be scored	(5468 eliminated genes)

	 Level 1:	1 nodes to be scored	(5569 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 160 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 12:	2 nodes to be scored	(0 eliminated genes)

	 Level 11:	3 nodes to be scored	(0 eliminated genes)

	 Level 10:	6 nodes to be scored	(129 eliminated genes)

	 Level 9:	8 nodes to be scored	(290 eliminated genes)

	 Level 8:	11 nodes to be scored	(677 eliminated genes)

	 Level 7:	14 nodes to be scored	(956 eliminated genes)

	 Level 6:	25 nodes to be scored	(2059 eliminated genes)

	 Level 5:	30 nodes to be scored	(3097 eliminated genes)

	 Level 4:	34 nodes to be scored	(3599 eliminated genes)

	 Level 3:	18 nodes to be scored	(4284 eliminated genes)

	 Level 2:	8 nodes to be scored	(4741 eliminated genes)

	 Level 1:	1 nodes to be scored	(5240 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 166 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	5 nodes to be scored	(0 eliminated genes)

	 Level 12:	4 nodes to be scored	(0 eliminated genes)

	 Level 11:	8 nodes to be scored	(42 eliminated genes)

	 Level 10:	13 nodes to be scored	(161 eliminated genes)

	 Level 9:	16 nodes to be scored	(227 eliminated genes)

	 Level 8:	14 nodes to be scored	(380 eliminated genes)

	 Level 7:	14 nodes to be scored	(598 eliminated genes)

	 Level 6:	18 nodes to be scored	(1451 eliminated genes)

	 Level 5:	29 nodes to be scored	(2574 eliminated genes)

	 Level 4:	25 nodes to be scored	(3804 eliminated genes)

	 Level 3:	13 nodes to be scored	(4453 eliminated genes)

	 Level 2:	6 nodes to be scored	(5186 eliminated genes)

	 Level 1:	1 nodes to be scored	(5557 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 201 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(27 eliminated genes)

	 Level 12:	2 nodes to be scored	(117 eliminated genes)

	 Level 11:	4 nodes to be scored	(154 eliminated genes)

	 Level 10:	9 nodes to be scored	(288 eliminated genes)

	 Level 9:	12 nodes to be scored	(745 eliminated genes)

	 Level 8:	16 nodes to be scored	(918 eliminated genes)

	 Level 7:	20 nodes to be scored	(1348 eliminated genes)

	 Level 6:	33 nodes to be scored	(2127 eliminated genes)

	 Level 5:	45 nodes to be scored	(3032 eliminated genes)

	 Level 4:	31 nodes to be scored	(4054 eliminated genes)

	 Level 3:	16 nodes to be scored	(4928 eliminated genes)

	 Level 2:	7 nodes to be scored	(5283 eliminated genes)

	 Level 1:	1 nodes to be scored	(5524 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 225 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	9 nodes to be scored	(0 eliminated genes)

	 Level 12:	11 nodes to be scored	(9 eliminated genes)

	 Level 11:	11 nodes to be scored	(80 eliminated genes)

	 Level 10:	17 nodes to be scored	(121 eliminated genes)

	 Level 9:	26 nodes to be scored	(169 eliminated genes)

	 Level 8:	21 nodes to be scored	(669 eliminated genes)

	 Level 7:	17 nodes to be scored	(1087 eliminated genes)

	 Level 6:	25 nodes to be scored	(2222 eliminated genes)

	 Level 5:	31 nodes to be scored	(3227 eliminated genes)

	 Level 4:	29 nodes to be scored	(4275 eliminated genes)

	 Level 3:	18 nodes to be scored	(4859 eliminated genes)

	 Level 2:	8 nodes to be scored	(5319 eliminated genes)

	 Level 1:	1 nodes to be scored	(5530 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 75 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	3 nodes to be scored	(47 eliminated genes)

	 Level 11:	4 nodes to be scored	(58 eliminated genes)

	 Level 10:	3 nodes to be scored	(151 eliminated genes)

	 Level 9:	6 nodes to be scored	(162 eliminated genes)

	 Level 8:	6 nodes to be scored	(357 eliminated genes)

	 Level 7:	5 nodes to be scored	(518 eliminated genes)

	 Level 6:	6 nodes to be scored	(824 eliminated genes)

	 Level 5:	8 nodes to be scored	(1608 eliminated genes)

	 Level 4:	12 nodes to be scored	(2018 eliminated genes)

	 Level 3:	10 nodes to be scored	(3543 eliminated genes)

	 Level 2:	7 nodes to be scored	(3943 eliminated genes)

	 Level 1:	1 nodes to be scored	(5055 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 174 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	2 nodes to be scored	(33 eliminated genes)

	 Level 10:	9 nodes to be scored	(33 eliminated genes)

	 Level 9:	16 nodes to be scored	(100 eliminated genes)

	 Level 8:	14 nodes to be scored	(268 eliminated genes)

	 Level 7:	16 nodes to be scored	(462 eliminated genes)

	 Level 6:	21 nodes to be scored	(884 eliminated genes)

	 Level 5:	32 nodes to be scored	(1306 eliminated genes)

	 Level 4:	35 nodes to be scored	(2042 eliminated genes)

	 Level 3:	19 nodes to be scored	(4122 eliminated genes)

	 Level 2:	7 nodes to be scored	(5249 eliminated genes)

	 Level 1:	1 nodes to be scored	(5555 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 293 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	5 nodes to be scored	(12 eliminated genes)

	 Level 12:	7 nodes to be scored	(103 eliminated genes)

	 Level 11:	10 nodes to be scored	(411 eliminated genes)

	 Level 10:	8 nodes to be scored	(623 eliminated genes)

	 Level 9:	13 nodes to be scored	(942 eliminated genes)

	 Level 8:	18 nodes to be scored	(997 eliminated genes)

	 Level 7:	35 nodes to be scored	(1196 eliminated genes)

	 Level 6:	51 nodes to be scored	(2013 eliminated genes)

	 Level 5:	63 nodes to be scored	(3063 eliminated genes)

	 Level 4:	47 nodes to be scored	(4252 eliminated genes)

	 Level 3:	23 nodes to be scored	(5063 eliminated genes)

	 Level 2:	8 nodes to be scored	(5384 eliminated genes)

	 Level 1:	1 nodes to be scored	(5564 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 722 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	13 nodes to be scored	(28 eliminated genes)

	 Level 12:	19 nodes to be scored	(94 eliminated genes)

	 Level 11:	42 nodes to be scored	(515 eliminated genes)

	 Level 10:	64 nodes to be scored	(939 eliminated genes)

	 Level 9:	84 nodes to be scored	(1296 eliminated genes)

	 Level 8:	81 nodes to be scored	(1715 eliminated genes)

	 Level 7:	98 nodes to be scored	(2255 eliminated genes)

	 Level 6:	114 nodes to be scored	(3420 eliminated genes)

	 Level 5:	102 nodes to be scored	(4123 eliminated genes)

	 Level 4:	63 nodes to be scored	(4747 eliminated genes)

	 Level 3:	27 nodes to be scored	(5236 eliminated genes)

	 Level 2:	10 nodes to be scored	(5447 eliminated genes)

	 Level 1:	1 nodes to be scored	(5590 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 403 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	2 nodes to be scored	(0 eliminated genes)

	 Level 13:	7 nodes to be scored	(0 eliminated genes)

	 Level 12:	10 nodes to be scored	(52 eliminated genes)

	 Level 11:	24 nodes to be scored	(407 eliminated genes)

	 Level 10:	31 nodes to be scored	(698 eliminated genes)

	 Level 9:	40 nodes to be scored	(964 eliminated genes)

	 Level 8:	41 nodes to be scored	(1282 eliminated genes)

	 Level 7:	56 nodes to be scored	(1659 eliminated genes)

	 Level 6:	60 nodes to be scored	(2236 eliminated genes)

	 Level 5:	59 nodes to be scored	(2825 eliminated genes)

	 Level 4:	42 nodes to be scored	(3965 eliminated genes)

	 Level 3:	21 nodes to be scored	(4679 eliminated genes)

	 Level 2:	9 nodes to be scored	(5421 eliminated genes)

	 Level 1:	1 nodes to be scored	(5560 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 122 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(0 eliminated genes)

	 Level 11:	4 nodes to be scored	(48 eliminated genes)

	 Level 10:	5 nodes to be scored	(68 eliminated genes)

	 Level 9:	4 nodes to be scored	(772 eliminated genes)

	 Level 8:	10 nodes to be scored	(831 eliminated genes)

	 Level 7:	11 nodes to be scored	(888 eliminated genes)

	 Level 6:	17 nodes to be scored	(1054 eliminated genes)

	 Level 5:	26 nodes to be scored	(2130 eliminated genes)

	 Level 4:	21 nodes to be scored	(3515 eliminated genes)

	 Level 3:	14 nodes to be scored	(4647 eliminated genes)

	 Level 2:	6 nodes to be scored	(5253 eliminated genes)

	 Level 1:	1 nodes to be scored	(5500 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 153 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(0 eliminated genes)

	 Level 11:	5 nodes to be scored	(6 eliminated genes)

	 Level 10:	10 nodes to be scored	(129 eliminated genes)

	 Level 9:	16 nodes to be scored	(140 eliminated genes)

	 Level 8:	14 nodes to be scored	(221 eliminated genes)

	 Level 7:	11 nodes to be scored	(669 eliminated genes)

	 Level 6:	20 nodes to be scored	(1796 eliminated genes)

	 Level 5:	30 nodes to be scored	(2880 eliminated genes)

	 Level 4:	23 nodes to be scored	(3611 eliminated genes)

	 Level 3:	14 nodes to be scored	(4193 eliminated genes)

	 Level 2:	6 nodes to be scored	(4916 eliminated genes)

	 Level 1:	1 nodes to be scored	(5262 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 290 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	3 nodes to be scored	(28 eliminated genes)

	 Level 12:	3 nodes to be scored	(42 eliminated genes)

	 Level 11:	6 nodes to be scored	(87 eliminated genes)

	 Level 10:	14 nodes to be scored	(97 eliminated genes)

	 Level 9:	28 nodes to be scored	(167 eliminated genes)

	 Level 8:	29 nodes to be scored	(297 eliminated genes)

	 Level 7:	36 nodes to be scored	(508 eliminated genes)

	 Level 6:	49 nodes to be scored	(969 eliminated genes)

	 Level 5:	49 nodes to be scored	(1933 eliminated genes)

	 Level 4:	43 nodes to be scored	(3526 eliminated genes)

	 Level 3:	19 nodes to be scored	(4675 eliminated genes)

	 Level 2:	8 nodes to be scored	(5068 eliminated genes)

	 Level 1:	1 nodes to be scored	(5265 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 136 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(0 eliminated genes)

	 Level 11:	6 nodes to be scored	(2 eliminated genes)

	 Level 10:	12 nodes to be scored	(8 eliminated genes)

	 Level 9:	14 nodes to be scored	(69 eliminated genes)

	 Level 8:	11 nodes to be scored	(215 eliminated genes)

	 Level 7:	10 nodes to be scored	(371 eliminated genes)

	 Level 6:	18 nodes to be scored	(646 eliminated genes)

	 Level 5:	24 nodes to be scored	(1520 eliminated genes)

	 Level 4:	19 nodes to be scored	(3071 eliminated genes)

	 Level 3:	12 nodes to be scored	(3991 eliminated genes)

	 Level 2:	6 nodes to be scored	(4710 eliminated genes)

	 Level 1:	1 nodes to be scored	(5231 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 669 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	3 nodes to be scored	(0 eliminated genes)

	 Level 14:	9 nodes to be scored	(0 eliminated genes)

	 Level 13:	13 nodes to be scored	(18 eliminated genes)

	 Level 12:	19 nodes to be scored	(117 eliminated genes)

	 Level 11:	29 nodes to be scored	(351 eliminated genes)

	 Level 10:	42 nodes to be scored	(800 eliminated genes)

	 Level 9:	79 nodes to be scored	(1278 eliminated genes)

	 Level 8:	79 nodes to be scored	(1848 eliminated genes)

	 Level 7:	85 nodes to be scored	(2776 eliminated genes)

	 Level 6:	106 nodes to be scored	(3854 eliminated genes)

	 Level 5:	100 nodes to be scored	(4386 eliminated genes)

	 Level 4:	66 nodes to be scored	(4804 eliminated genes)

	 Level 3:	27 nodes to be scored	(5279 eliminated genes)

	 Level 2:	11 nodes to be scored	(5441 eliminated genes)

	 Level 1:	1 nodes to be scored	(5590 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 302 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	5 nodes to be scored	(0 eliminated genes)

	 Level 13:	7 nodes to be scored	(3 eliminated genes)

	 Level 12:	6 nodes to be scored	(95 eliminated genes)

	 Level 11:	8 nodes to be scored	(268 eliminated genes)

	 Level 10:	11 nodes to be scored	(533 eliminated genes)

	 Level 9:	23 nodes to be scored	(763 eliminated genes)

	 Level 8:	27 nodes to be scored	(887 eliminated genes)

	 Level 7:	39 nodes to be scored	(1068 eliminated genes)

	 Level 6:	55 nodes to be scored	(1660 eliminated genes)

	 Level 5:	57 nodes to be scored	(3167 eliminated genes)

	 Level 4:	38 nodes to be scored	(4368 eliminated genes)

	 Level 3:	17 nodes to be scored	(5068 eliminated genes)

	 Level 2:	7 nodes to be scored	(5403 eliminated genes)

	 Level 1:	1 nodes to be scored	(5553 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 458 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	2 nodes to be scored	(0 eliminated genes)

	 Level 14:	4 nodes to be scored	(0 eliminated genes)

	 Level 13:	6 nodes to be scored	(16 eliminated genes)

	 Level 12:	13 nodes to be scored	(23 eliminated genes)

	 Level 11:	21 nodes to be scored	(227 eliminated genes)

	 Level 10:	31 nodes to be scored	(679 eliminated genes)

	 Level 9:	47 nodes to be scored	(1137 eliminated genes)

	 Level 8:	43 nodes to be scored	(1701 eliminated genes)

	 Level 7:	49 nodes to be scored	(2365 eliminated genes)

	 Level 6:	70 nodes to be scored	(3409 eliminated genes)

	 Level 5:	74 nodes to be scored	(4137 eliminated genes)

	 Level 4:	59 nodes to be scored	(4711 eliminated genes)

	 Level 3:	27 nodes to be scored	(5232 eliminated genes)

	 Level 2:	11 nodes to be scored	(5437 eliminated genes)

	 Level 1:	1 nodes to be scored	(5590 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 209 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(0 eliminated genes)

	 Level 11:	4 nodes to be scored	(9 eliminated genes)

	 Level 10:	5 nodes to be scored	(119 eliminated genes)

	 Level 9:	20 nodes to be scored	(303 eliminated genes)

	 Level 8:	22 nodes to be scored	(630 eliminated genes)

	 Level 7:	23 nodes to be scored	(1306 eliminated genes)

	 Level 6:	30 nodes to be scored	(2360 eliminated genes)

	 Level 5:	42 nodes to be scored	(3179 eliminated genes)

	 Level 4:	33 nodes to be scored	(4171 eliminated genes)

	 Level 3:	18 nodes to be scored	(4878 eliminated genes)

	 Level 2:	8 nodes to be scored	(5325 eliminated genes)

	 Level 1:	1 nodes to be scored	(5553 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 270 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	4 nodes to be scored	(0 eliminated genes)

	 Level 13:	4 nodes to be scored	(0 eliminated genes)

	 Level 12:	9 nodes to be scored	(48 eliminated genes)

	 Level 11:	12 nodes to be scored	(368 eliminated genes)

	 Level 10:	12 nodes to be scored	(654 eliminated genes)

	 Level 9:	19 nodes to be scored	(1068 eliminated genes)

	 Level 8:	21 nodes to be scored	(1386 eliminated genes)

	 Level 7:	29 nodes to be scored	(1692 eliminated genes)

	 Level 6:	39 nodes to be scored	(2675 eliminated genes)

	 Level 5:	54 nodes to be scored	(3363 eliminated genes)

	 Level 4:	39 nodes to be scored	(4025 eliminated genes)

	 Level 3:	19 nodes to be scored	(4891 eliminated genes)

	 Level 2:	8 nodes to be scored	(5347 eliminated genes)

	 Level 1:	1 nodes to be scored	(5556 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 611 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	4 nodes to be scored	(0 eliminated genes)

	 Level 14:	11 nodes to be scored	(4 eliminated genes)

	 Level 13:	15 nodes to be scored	(36 eliminated genes)

	 Level 12:	22 nodes to be scored	(143 eliminated genes)

	 Level 11:	27 nodes to be scored	(420 eliminated genes)

	 Level 10:	28 nodes to be scored	(817 eliminated genes)

	 Level 9:	57 nodes to be scored	(1176 eliminated genes)

	 Level 8:	62 nodes to be scored	(1569 eliminated genes)

	 Level 7:	79 nodes to be scored	(2376 eliminated genes)

	 Level 6:	99 nodes to be scored	(3541 eliminated genes)

	 Level 5:	101 nodes to be scored	(4137 eliminated genes)

	 Level 4:	68 nodes to be scored	(4758 eliminated genes)

	 Level 3:	26 nodes to be scored	(5289 eliminated genes)

	 Level 2:	10 nodes to be scored	(5443 eliminated genes)

	 Level 1:	1 nodes to be scored	(5576 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 259 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	3 nodes to be scored	(0 eliminated genes)

	 Level 11:	3 nodes to be scored	(5 eliminated genes)

	 Level 10:	7 nodes to be scored	(60 eliminated genes)

	 Level 9:	14 nodes to be scored	(179 eliminated genes)

	 Level 8:	19 nodes to be scored	(335 eliminated genes)

	 Level 7:	35 nodes to be scored	(775 eliminated genes)

	 Level 6:	42 nodes to be scored	(1650 eliminated genes)

	 Level 5:	61 nodes to be scored	(3026 eliminated genes)

	 Level 4:	45 nodes to be scored	(3884 eliminated genes)

	 Level 3:	21 nodes to be scored	(4933 eliminated genes)

	 Level 2:	7 nodes to be scored	(5383 eliminated genes)

	 Level 1:	1 nodes to be scored	(5571 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 88 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(0 eliminated genes)

	 Level 11:	5 nodes to be scored	(19 eliminated genes)

	 Level 10:	3 nodes to be scored	(47 eliminated genes)

	 Level 9:	6 nodes to be scored	(605 eliminated genes)

	 Level 8:	6 nodes to be scored	(944 eliminated genes)

	 Level 7:	5 nodes to be scored	(1336 eliminated genes)

	 Level 6:	11 nodes to be scored	(2081 eliminated genes)

	 Level 5:	19 nodes to be scored	(2687 eliminated genes)

	 Level 4:	16 nodes to be scored	(3425 eliminated genes)

	 Level 3:	9 nodes to be scored	(4169 eliminated genes)

	 Level 2:	4 nodes to be scored	(5032 eliminated genes)

	 Level 1:	1 nodes to be scored	(5286 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 405 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	4 nodes to be scored	(0 eliminated genes)

	 Level 14:	8 nodes to be scored	(4 eliminated genes)

	 Level 13:	13 nodes to be scored	(36 eliminated genes)

	 Level 12:	15 nodes to be scored	(96 eliminated genes)

	 Level 11:	18 nodes to be scored	(360 eliminated genes)

	 Level 10:	18 nodes to be scored	(601 eliminated genes)

	 Level 9:	36 nodes to be scored	(846 eliminated genes)

	 Level 8:	40 nodes to be scored	(1004 eliminated genes)

	 Level 7:	47 nodes to be scored	(1843 eliminated genes)

	 Level 6:	65 nodes to be scored	(3035 eliminated genes)

	 Level 5:	63 nodes to be scored	(3664 eliminated genes)

	 Level 4:	45 nodes to be scored	(4488 eliminated genes)

	 Level 3:	21 nodes to be scored	(5051 eliminated genes)

	 Level 2:	10 nodes to be scored	(5400 eliminated genes)

	 Level 1:	1 nodes to be scored	(5565 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 128 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	3 nodes to be scored	(0 eliminated genes)

	 Level 13:	2 nodes to be scored	(0 eliminated genes)

	 Level 12:	4 nodes to be scored	(47 eliminated genes)

	 Level 11:	9 nodes to be scored	(77 eliminated genes)

	 Level 10:	4 nodes to be scored	(170 eliminated genes)

	 Level 9:	11 nodes to be scored	(723 eliminated genes)

	 Level 8:	9 nodes to be scored	(1137 eliminated genes)

	 Level 7:	7 nodes to be scored	(1439 eliminated genes)

	 Level 6:	15 nodes to be scored	(2101 eliminated genes)

	 Level 5:	25 nodes to be scored	(2205 eliminated genes)

	 Level 4:	19 nodes to be scored	(3721 eliminated genes)

	 Level 3:	13 nodes to be scored	(4638 eliminated genes)

	 Level 2:	6 nodes to be scored	(5073 eliminated genes)

	 Level 1:	1 nodes to be scored	(5462 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 697 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	2 nodes to be scored	(0 eliminated genes)

	 Level 14:	5 nodes to be scored	(5 eliminated genes)

	 Level 13:	7 nodes to be scored	(28 eliminated genes)

	 Level 12:	18 nodes to be scored	(142 eliminated genes)

	 Level 11:	37 nodes to be scored	(271 eliminated genes)

	 Level 10:	45 nodes to be scored	(663 eliminated genes)

	 Level 9:	76 nodes to be scored	(1412 eliminated genes)

	 Level 8:	78 nodes to be scored	(1889 eliminated genes)

	 Level 7:	97 nodes to be scored	(2526 eliminated genes)

	 Level 6:	117 nodes to be scored	(3780 eliminated genes)

	 Level 5:	103 nodes to be scored	(4335 eliminated genes)

	 Level 4:	68 nodes to be scored	(4832 eliminated genes)

	 Level 3:	31 nodes to be scored	(5303 eliminated genes)

	 Level 2:	11 nodes to be scored	(5425 eliminated genes)

	 Level 1:	1 nodes to be scored	(5577 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 510 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 16:	1 nodes to be scored	(0 eliminated genes)

	 Level 15:	2 nodes to be scored	(0 eliminated genes)

	 Level 14:	5 nodes to be scored	(5 eliminated genes)

	 Level 13:	5 nodes to be scored	(28 eliminated genes)

	 Level 12:	11 nodes to be scored	(142 eliminated genes)

	 Level 11:	25 nodes to be scored	(260 eliminated genes)

	 Level 10:	27 nodes to be scored	(581 eliminated genes)

	 Level 9:	48 nodes to be scored	(1150 eliminated genes)

	 Level 8:	57 nodes to be scored	(1555 eliminated genes)

	 Level 7:	71 nodes to be scored	(2083 eliminated genes)

	 Level 6:	83 nodes to be scored	(3029 eliminated genes)

	 Level 5:	81 nodes to be scored	(3475 eliminated genes)

	 Level 4:	53 nodes to be scored	(4380 eliminated genes)

	 Level 3:	29 nodes to be scored	(5073 eliminated genes)

	 Level 2:	11 nodes to be scored	(5387 eliminated genes)

	 Level 1:	1 nodes to be scored	(5568 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 207 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 15:	1 nodes to be scored	(0 eliminated genes)

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(28 eliminated genes)

	 Level 12:	1 nodes to be scored	(42 eliminated genes)

	 Level 11:	4 nodes to be scored	(42 eliminated genes)

	 Level 10:	6 nodes to be scored	(51 eliminated genes)

	 Level 9:	17 nodes to be scored	(202 eliminated genes)

	 Level 8:	20 nodes to be scored	(294 eliminated genes)

	 Level 7:	27 nodes to be scored	(609 eliminated genes)

	 Level 6:	36 nodes to be scored	(1669 eliminated genes)

	 Level 5:	39 nodes to be scored	(2576 eliminated genes)

	 Level 4:	29 nodes to be scored	(3831 eliminated genes)

	 Level 3:	17 nodes to be scored	(4999 eliminated genes)

	 Level 2:	7 nodes to be scored	(5293 eliminated genes)

	 Level 1:	1 nodes to be scored	(5510 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 121 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 14:	1 nodes to be scored	(0 eliminated genes)

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	1 nodes to be scored	(53 eliminated genes)

	 Level 11:	5 nodes to be scored	(154 eliminated genes)

	 Level 10:	7 nodes to be scored	(279 eliminated genes)

	 Level 9:	7 nodes to be scored	(752 eliminated genes)

	 Level 8:	10 nodes to be scored	(857 eliminated genes)

	 Level 7:	12 nodes to be scored	(880 eliminated genes)

	 Level 6:	19 nodes to be scored	(1227 eliminated genes)

	 Level 5:	23 nodes to be scored	(2354 eliminated genes)

	 Level 4:	16 nodes to be scored	(3167 eliminated genes)

	 Level 3:	12 nodes to be scored	(3619 eliminated genes)

	 Level 2:	6 nodes to be scored	(4688 eliminated genes)

	 Level 1:	1 nodes to be scored	(5193 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 128 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	5 nodes to be scored	(0 eliminated genes)

	 Level 11:	6 nodes to be scored	(9 eliminated genes)

	 Level 10:	9 nodes to be scored	(71 eliminated genes)

	 Level 9:	13 nodes to be scored	(236 eliminated genes)

	 Level 8:	8 nodes to be scored	(447 eliminated genes)

	 Level 7:	10 nodes to be scored	(536 eliminated genes)

	 Level 6:	15 nodes to be scored	(799 eliminated genes)

	 Level 5:	21 nodes to be scored	(1500 eliminated genes)

	 Level 4:	20 nodes to be scored	(3024 eliminated genes)

	 Level 3:	13 nodes to be scored	(4491 eliminated genes)

	 Level 2:	6 nodes to be scored	(4958 eliminated genes)

	 Level 1:	1 nodes to be scored	(5437 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 110 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	2 nodes to be scored	(0 eliminated genes)

	 Level 11:	3 nodes to be scored	(2 eliminated genes)

	 Level 10:	4 nodes to be scored	(21 eliminated genes)

	 Level 9:	7 nodes to be scored	(70 eliminated genes)

	 Level 8:	9 nodes to be scored	(173 eliminated genes)

	 Level 7:	8 nodes to be scored	(740 eliminated genes)

	 Level 6:	14 nodes to be scored	(1176 eliminated genes)

	 Level 5:	19 nodes to be scored	(2200 eliminated genes)

	 Level 4:	20 nodes to be scored	(2824 eliminated genes)

	 Level 3:	15 nodes to be scored	(4576 eliminated genes)

	 Level 2:	7 nodes to be scored	(5070 eliminated genes)

	 Level 1:	1 nodes to be scored	(5403 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 48 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 10:	1 nodes to be scored	(0 eliminated genes)

	 Level 9:	3 nodes to be scored	(0 eliminated genes)

	 Level 8:	3 nodes to be scored	(12 eliminated genes)

	 Level 7:	7 nodes to be scored	(87 eliminated genes)

	 Level 6:	6 nodes to be scored	(333 eliminated genes)

	 Level 5:	10 nodes to be scored	(454 eliminated genes)

	 Level 4:	7 nodes to be scored	(748 eliminated genes)

	 Level 3:	6 nodes to be scored	(1863 eliminated genes)

	 Level 2:	4 nodes to be scored	(2346 eliminated genes)

	 Level 1:	1 nodes to be scored	(4236 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 438 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	6 nodes to be scored	(0 eliminated genes)

	 Level 12:	8 nodes to be scored	(0 eliminated genes)

	 Level 11:	13 nodes to be scored	(34 eliminated genes)

	 Level 10:	29 nodes to be scored	(103 eliminated genes)

	 Level 9:	39 nodes to be scored	(344 eliminated genes)

	 Level 8:	44 nodes to be scored	(1175 eliminated genes)

	 Level 7:	56 nodes to be scored	(1698 eliminated genes)

	 Level 6:	75 nodes to be scored	(3227 eliminated genes)

	 Level 5:	76 nodes to be scored	(3931 eliminated genes)

	 Level 4:	52 nodes to be scored	(4471 eliminated genes)

	 Level 3:	26 nodes to be scored	(5201 eliminated genes)

	 Level 2:	13 nodes to be scored	(5450 eliminated genes)

	 Level 1:	1 nodes to be scored	(5567 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 152 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	4 nodes to be scored	(0 eliminated genes)

	 Level 12:	5 nodes to be scored	(0 eliminated genes)

	 Level 11:	6 nodes to be scored	(14 eliminated genes)

	 Level 10:	16 nodes to be scored	(17 eliminated genes)

	 Level 9:	20 nodes to be scored	(177 eliminated genes)

	 Level 8:	14 nodes to be scored	(307 eliminated genes)

	 Level 7:	13 nodes to be scored	(513 eliminated genes)

	 Level 6:	18 nodes to be scored	(781 eliminated genes)

	 Level 5:	21 nodes to be scored	(1098 eliminated genes)

	 Level 4:	20 nodes to be scored	(3357 eliminated genes)

	 Level 3:	10 nodes to be scored	(4085 eliminated genes)

	 Level 2:	4 nodes to be scored	(4388 eliminated genes)

	 Level 1:	1 nodes to be scored	(5154 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 304 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	1 nodes to be scored	(0 eliminated genes)

	 Level 12:	3 nodes to be scored	(0 eliminated genes)

	 Level 11:	6 nodes to be scored	(19 eliminated genes)

	 Level 10:	12 nodes to be scored	(86 eliminated genes)

	 Level 9:	17 nodes to be scored	(166 eliminated genes)

	 Level 8:	25 nodes to be scored	(909 eliminated genes)

	 Level 7:	38 nodes to be scored	(1214 eliminated genes)

	 Level 6:	56 nodes to be scored	(2658 eliminated genes)

	 Level 5:	63 nodes to be scored	(3444 eliminated genes)

	 Level 4:	45 nodes to be scored	(4180 eliminated genes)

	 Level 3:	24 nodes to be scored	(5128 eliminated genes)

	 Level 2:	13 nodes to be scored	(5449 eliminated genes)

	 Level 1:	1 nodes to be scored	(5567 eliminated genes)
'select()' returned 1:1 mapping between keys and columns

Building most specific GOs .....
	( 2909 GO terms found. )

Build GO DAG topology ..........
	( 5064 GO terms and 11404 relations. )

Annotating nodes ...............
	( 6419 genes annotated to the GO terms. )

			 -- Weight01 Algorithm -- 

		 the algorithm is scoring 110 nontrivial nodes
		 parameters: 
			 test statistic: fisher

	 Level 13:	2 nodes to be scored	(0 eliminated genes)

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	2 nodes to be scored	(13 eliminated genes)

	 Level 10:	3 nodes to be scored	(13 eliminated genes)

	 Level 9:	4 nodes to be scored	(15 eliminated genes)

	 Level 8:	8 nodes to be scored	(40 eliminated genes)

	 Level 7:	11 nodes to be scored	(260 eliminated genes)

	 Level 6:	16 nodes to be scored	(502 eliminated genes)

	 Level 5:	20 nodes to be scored	(957 eliminated genes)

	 Level 4:	24 nodes to be scored	(2681 eliminated genes)

	 Level 3:	13 nodes to be scored	(3963 eliminated genes)

	 Level 2:	5 nodes to be scored	(4317 eliminated genes)

	 Level 1:	1 nodes to be scored	(5019 eliminated genes)

















In [58]:



    


rownames(GOenrichmentResults) <- c("terms", "p-values", "genes")
colnames(GOenrichmentResults) <- communities



    











In [59]:



    


GOenrichmentResults[["terms", "01-05"]]



    


















    









go_idTermDefinition


	
418GO:0000173                                                                                                                                                                                                                                                            inactivation of MAPK activity involved in osmosensory signaling pathway                                                                                                                                                                                               Any process that terminates the activity of the active enzyme MAP kinase during osmolarity sensing.                                                                                                                                                                   

	
2443GO:0001732                                                                                                                                                                                                                                                            formation of cytoplasmic translation initiation complex                                                                                                                                                                                                               Joining of the large subunit, with release of IF2/eIF2 and IF3/eIF3. This leaves the functional ribosome at the AUG, with the methionyl/formyl-methionyl-tRNA positioned at the P site.                                                                               

	
3403GO:0002181                                                                                                                                                                                                                                                            cytoplasmic translation                                                                                                                                                                                                                                               The chemical reactions and pathways resulting in the formation of a protein in the cytoplasm. This is a ribosome-mediated process in which the information in messenger RNA (mRNA) is used to specify the sequence of amino acids in the protein.                     

	
6111GO:0006386                                                                                                                                                                                                                                                            termination of RNA polymerase III transcription                                                                                                                                                                                                                       The process in which transcription by RNA polymerase III is terminated; Pol III has an intrinsic ability to terminate transcription upon incorporation of 4 to 6 contiguous U residues.                                                                               

	
14416GO:0005980                                                                                                                                                                                                                                                            glycogen catabolic process                                                                                                                                                                                                                                            The chemical reactions and pathways resulting in the breakdown of glycogen, a polydisperse, highly branched glucan composed of chains of D-glucose residues.                                                                                                          

	
14736GO:0006089                                                                                                                                                                                                                                                            lactate metabolic process                                                                                                                                                                                                                                             The chemical reactions and pathways involving lactate, the anion of lactic acid.                                                                                                                                                                                      

	
14802GO:0055114                                                                                                                                                                                                                                                            oxidation-reduction process                                                                                                                                                                                                                                           A metabolic process that results in the removal or addition of one or more electrons to or from a substance, with or without the concomitant removal or addition of a proton or protons.                                                                              

	
15014GO:0006189                                                                                                                                                                                                                                                            'de novo' IMP biosynthetic process                                                                                                                                                                                                                                    The chemical reactions and pathways resulting in the formation of IMP, inosine monophosphate, by the stepwise assembly of a purine ring on ribose 5-phosphate.                                                                                                        

	
16138GO:0006696                                                                                                                                                                                                                                                            ergosterol biosynthetic process                                                                                                                                                                                                                                       The chemical reactions and pathways resulting in the formation of ergosterol, (22E)-ergosta-5,7,22-trien-3-beta-ol, a sterol found in ergot, yeast and moulds.                                                                                                        

	
16345GO:0006744                                                                                                                                                                                                                                                            ubiquinone biosynthetic process                                                                                                                                                                                                                                       The chemical reactions and pathways resulting in the formation of ubiquinone, a lipid-soluble electron-transporting coenzyme.                                                                                                                                         

	
21362GO:0009060                                                                                                                                                                                                                                                            aerobic respiration                                                                                                                                                                                                                                                   The enzymatic release of energy from inorganic and organic compounds (especially carbohydrates and fats) which requires oxygen as the terminal electron acceptor.                                                                                                     

	
21363GO:0009061                                                                                                                                                                                                                                                            anaerobic respiration                                                                                                                                                                                                                                                 The enzymatic release of energy from inorganic and organic compounds (especially carbohydrates and fats) which uses compounds other than oxygen (e.g. nitrate, sulfate) as the terminal electron acceptor.                                                            

	
21538GO:0009113                                                                                                                                                                                                                                                            purine nucleobase biosynthetic process                                                                                                                                                                                                                                The chemical reactions and pathways resulting in the formation of purine nucleobases, one of the two classes of nitrogen-containing ring compounds found in DNA and RNA, which include adenine and guanine.                                                           

	
21993GO:0009263                                                                                                                                                                                                                                                            deoxyribonucleotide biosynthetic process                                                                                                                                                                                                                              The chemical reactions and pathways resulting in the formation of a deoxyribonucleotide, a compound consisting of deoxyribonucleoside (a base linked to a deoxyribose sugar) esterified with a phosphate group at either the 3' or 5'-hydroxyl group of the sugar.    

	
22331GO:0009436                                                                                                                                                                                                                                                            glyoxylate catabolic process                                                                                                                                                                                                                                          The chemical reactions and pathways resulting in the breakdown of glyoxylate, the anion of glyoxylic acid, HOC-COOH.                                                                                                                                                  

	
26510GO:0015866                                                                                                                                                                                                                                                            ADP transport                                                                                                                                                                                                                                                         The directed movement of ADP, adenosine diphosphate, into, out of or within a cell, or between cells, by means of some agent such as a transporter or pore.                                                                                                           

	
26536GO:0015886                                                                                                                                                                                                                                                            heme transport                                                                                                                                                                                                                                                        The directed movement of heme, any compound of iron complexed in a porphyrin (tetrapyrrole) ring, into, out of or within a cell, or between cells, by means of some agent such as a transporter or pore.                                                              

	
44819GO:0035066                                                                                                                                                                                                                                                            positive regulation of histone acetylation                                                                                                                                                                                                                            Any process that activates or increases the frequency, rate or extent of the addition of an acetyl group to a histone protein.                                                                                                                                        

	
54959GO:0045292                                                                                                                                                                                                                                                            mRNA cis splicing, via spliceosome                                                                                                                                                                                                                                    The joining together, after removal of an intervening sequence composed of one or more introns, of two segments of the same RNA molecule via spliceosomal catalysis to produce an mRNA composed only of exon sequences that all came from the same primary transcript.

	
56958GO:0045732                                                                                                                                                                                                                                                            positive regulation of protein catabolic process                                                                                                                                                                                                                      Any process that activates or increases the frequency, rate or extent of the chemical reactions and pathways resulting in the breakdown of a protein by the destruction of the native, active configuration, with or without the hydrolysis of peptide bonds.         

	
57656GO:0045899                                                                                                                                                                                                                                                            positive regulation of RNA polymerase II transcriptional preinitiation complex assembly                                                                                                                                                                               Any process that activates or increases the frequency, rate or extent of RNA polymerase II transcriptional preinitiation complex assembly.                                                                                                                            

	
78983GO:0070682                                                                                                                                                                                                                                                            proteasome regulatory particle assembly                                                                                                                                                                                                                               The aggregation, arrangement and bonding together of a mature, active proteasome regulatory particle complex.                                                                                                                                                         





















In [60]:



    


getSubCommunities("01-05")



    


















    






'NA'
















In [61]:



    


GOenrichmentResults[["terms", "01-05-08"]]



    


















    






Error in GOenrichmentResults[["terms", "01-05-08"]]: subscript out of bounds
Traceback:

















In [ ]:



    


getGenes("01-05")



    











In [259]:



    


library(GOSemSim)



    


















    






GOSemSim v2.0.4  For help: https://guangchuangyu.github.io/GOSemSim

If you use GOSemSim in published research, please cite:
Guangchuang Yu, Fei Li, Yide Qin, Xiaochen Bo, Yibo Wu, Shengqi Wang. GOSemSim: an R package for measuring semantic similarity among GO terms and gene products Bioinformatics 2010, 26(7):976-978

Attaching package: ‘GOSemSim’

The following objects are masked from ‘package:DOSE’:

    clusterSim, geneSim, mclusterSim


















In [260]:



    


scGO <- godata(OrgDb = mapping, keytype = ID, ont = ont)



    


















    






[1] "preparing gene to GO mapping data..."
[1] "preparing IC data..."

















In [ ]:



    


clusterSimFile <- "clusterSimilarity.rda"
if (!file.exists(clusterSimFile)){
    clusterSim <- mclusterSim(clusters=genesInCommunities, semData=scGO)
    save(clusterSim, file=clusterSimFile)
    print("saved")
} else {
    load(clusterSimFile)
    print("loaded")
}



    











In [262]:



    


communitiesOfInterest <- c(getSubCommunities("01"), getSubCommunities("01-02"))



    











In [264]:



    


length(communitiesOfInterest)



    


















    






18
















In [266]:



    


clusterSim <- mclusterSim(clusters=genesInCommunities[communitiesOfInterest], semData=scGO)



    











In [267]:



    


clusterSim



    


















    









01-0201-0601-0301-0501-0101-0401-0701-0801-02-0201-02-0101-02-0601-02-0301-02-0501-02-0901-02-0401-02-0801-02-0701-02-10


	
01-021.0000.6750.8280.6590.7410.5810.5420.4500.8210.9610.6110.7610.7420.6830.7180.6510.6060.601

	
01-060.6751.0000.7180.7530.7160.6210.5730.5250.7240.6920.6560.7110.7290.6950.7430.7230.6640.665

	
01-030.8280.7181.0000.7130.7740.6120.5670.4800.8140.8340.6540.7860.7670.7440.7380.6900.6440.657

	
01-050.6590.7530.7131.0000.7030.6260.5630.5430.7110.6800.6700.7300.7080.7020.7130.7240.7050.719

	
01-010.7410.7160.7740.7031.0000.6540.5890.4820.7540.7550.6560.7560.7470.7090.7390.7080.6540.657

	
01-040.5810.6210.6120.6260.6541.0000.5980.5020.6260.5990.5770.6620.6570.6020.6150.6450.5890.637

	
01-070.5420.5730.5670.5630.5890.5981.0000.4280.5850.5550.5580.6070.5810.5720.5750.5850.5430.545

	
01-080.4500.5250.4800.5430.4820.5020.4281.0000.5080.4640.4720.4850.4820.4780.4790.5630.5000.514

	
01-02-020.8210.7240.8140.7110.7540.6260.5850.5081.0000.8120.6370.8090.7580.7280.7380.7070.6460.671

	
01-02-010.9610.6920.8340.6800.7550.5990.5550.4640.8121.0000.6200.7700.7380.6900.7130.6570.6120.610

	
01-02-060.6110.6560.6540.6700.6560.5770.5580.4720.6370.6201.0000.6680.6390.6800.6580.6640.6150.668

	
01-02-030.7610.7110.7860.7300.7560.6620.6070.4850.8090.7700.6681.0000.7520.7380.7410.7110.6620.713

	
01-02-050.7420.7290.7670.7080.7470.6570.5810.4820.7580.7380.6390.7521.0000.7220.7250.7100.6570.682

	
01-02-090.6830.6950.7440.7020.7090.6020.5720.4780.7280.6900.6800.7380.7221.0000.7170.6670.6880.699

	
01-02-040.7180.7430.7380.7130.7390.6150.5750.4790.7380.7130.6580.7410.7250.7171.0000.6960.6700.681

	
01-02-080.6510.7230.6900.7240.7080.6450.5850.5630.7070.6570.6640.7110.7100.6670.6961.0000.6720.700

	
01-02-070.6060.6640.6440.7050.6540.5890.5430.5000.6460.6120.6150.6620.6570.6880.6700.6721.0000.710

	
01-02-100.6010.6650.6570.7190.6570.6370.5450.5140.6710.6100.6680.7130.6820.6990.6810.7000.7101.000





















In [269]:



    


library(gridExtra)
grid.table(clusterSim[sort(getSubCommunities("01")),sort(getSubCommunities("01"))])



    


















    
























In [270]:



    


grid.table(getShortestPath("01"))



    


















    
























In [282]:



    


grid.table(clusterSim[sort(getSubCommunities("01-02"))[1:6],sort(getSubCommunities("01-02"))[1:6]])



    


















    
























In [283]:



    


grid.table(getShortestPath("01-02")[1:6, 1:6])



    


















    
























In [ ]:

Content source: DavidMcDonald1993/ghsom

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