Procrustes transformation for comparing 90- vs 150-bp Deblur tables


In [ ]:
import pandas as pd
import numpy as np

Note: this notebook requires operating on the original UniFrac distances matrices, which are very large.

To reproduce, download the following files from ftp://ftp.microbio.me/emp/release1/results/beta_diversity/deblur/:

emp_150_gg_1k_unweighted_unifrac.txt
emp_90_gg_1k_unweighted_unifrac.txt

In [34]:
# read in samples 

samples_150 = pd.read_csv('./emp_150_gg_1k_unweighted_unifrac.txt', nrows=1, sep ='\t', header=None).T[0][1:]
samples_90 = pd.read_csv('./emp_90_gg_1k_unweighted_unifrac.txt', nrows=1, sep ='\t', header=None).T[0][1:]

In [18]:
# read in sample map

subset_2k_map = pd.read_csv('../../data/mapping-files/emp_qiime_mapping_subset_2k.tsv', header=0, sep='\t')
subset_2k_map.head()


Out[18]:
#SampleID BarcodeSequence LinkerPrimerSequence Description host_subject_id study_id title principal_investigator doi ebi_accession ... adiv_shannon adiv_faith_pd temperature_deg_c ph salinity_psu oxygen_mg_per_l phosphate_umol_per_l ammonium_umol_per_l nitrate_umol_per_l sulfate_umol_per_l
0 550.L1S116.s.1.sequence ATGCCTGAGCAG GTGCCAGCMGCCGCGGTAA sample_20 stool F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.867414 12.457989 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1 550.L1S119.s.1.sequence CAGCACTAAGCG GTGCCAGCMGCCGCGGTAA sample_23 stool F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.265164 10.719448 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
2 550.L1S164.s.1.sequence ATGTACGGCGAC GTGCCAGCMGCCGCGGTAA sample_73 stool M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.661124 14.214158 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
3 550.L1S194.s.1.sequence CGAAGACTGCTG GTGCCAGCMGCCGCGGTAA sample_105 stool M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 4.439943 12.012602 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
4 550.L1S20.s.1.sequence ACGGTGAGTGTC GTGCCAGCMGCCGCGGTAA sample_112 stool F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.327601 11.758069 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
5 550.L1S26.s.1.sequence ACAGCAGTGGTC GTGCCAGCMGCCGCGGTAA sample_175 stool F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.272025 10.390166 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
6 550.L1S264.s.1.sequence CTGTATCGTATG GTGCCAGCMGCCGCGGTAA sample_180 stool M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 5.732025 19.540809 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
7 550.L1S273.s.1.sequence CCTAGTACTGAT GTGCCAGCMGCCGCGGTAA sample_189 stool M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 4.191533 14.265016 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
8 550.L2S103.s.2.sequence AGCACGAGCCTA GTGCCAGCMGCCGCGGTAA sample_380 sebum F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 7.570207 52.371958 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
9 550.L2S144.s.2.sequence AGTACGCTCGAG GTGCCAGCMGCCGCGGTAA sample_425 sebum F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 6.181649 38.653723 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
10 550.L2S164.s.2.sequence ACTACAGCCTAT GTGCCAGCMGCCGCGGTAA sample_447 sebum F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 5.828009 37.769790 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
11 550.L2S166.s.2.sequence AGATCGGCTCGA GTGCCAGCMGCCGCGGTAA sample_449 sebum F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 5.952527 42.317611 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
12 550.L2S303.s.2.sequence CTCATGTACAGT GTGCCAGCMGCCGCGGTAA sample_597 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 1.868610 17.649715 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
13 550.L2S377.s.2.sequence CCTCTCGTGATC GTGCCAGCMGCCGCGGTAA sample_676 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 6.057640 35.644789 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
14 550.L4S1.s.4.sequence CATGGCTACACA GTGCCAGCMGCCGCGGTAA sample_1111 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 4.850969 34.136518 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
15 550.L4S102.s.4.sequence GCAATAGCTGCT GTGCCAGCMGCCGCGGTAA sample_1115 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 7.066361 53.006615 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
16 550.L4S122.s.4.sequence GACCACTACGAT GTGCCAGCMGCCGCGGTAA sample_1137 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 4.212268 25.715900 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
17 550.L4S140.s.4.sequence GAGTCTGAGTCT GTGCCAGCMGCCGCGGTAA sample_1157 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 2.630993 13.920620 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
18 550.L4S158.s.4.sequence GCAGGATAGATA GTGCCAGCMGCCGCGGTAA sample_1176 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 5.616810 30.118912 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
19 550.L4S161.s.4.sequence GAAGTCTCGCAT GTGCCAGCMGCCGCGGTAA sample_1180 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 7.304861 55.092754 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
20 550.L4S183.s.4.sequence GCGGATGTGACT GTGCCAGCMGCCGCGGTAA sample_1204 sebum M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 4.891649 24.036843 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
21 550.L5S119.s.5.sequence CAGCACTAAGCG GTGCCAGCMGCCGCGGTAA sample_1403 saliva F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.647179 9.600555 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
22 550.L5S224.s.5.sequence CTGCAGTACTTA GTGCCAGCMGCCGCGGTAA sample_1519 saliva F4 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.869599 10.713225 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
23 550.L5S258.s.5.sequence CGAGTCTAGTTG GTGCCAGCMGCCGCGGTAA sample_1556 saliva M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.841479 10.921526 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
24 550.L6S104.s.6.sequence TAGATCCTCGAT GTGCCAGCMGCCGCGGTAA sample_1653 saliva M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 4.329496 11.399017 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
25 550.L6S144.s.6.sequence TAGCGGATCACG GTGCCAGCMGCCGCGGTAA sample_1695 saliva M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.687083 10.642233 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
26 550.L6S149.s.6.sequence GTGTCTACATTG GTGCCAGCMGCCGCGGTAA sample_1700 saliva M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 4.226336 12.062299 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
27 550.L6S176.s.6.sequence TAGTCGTCTAGT GTGCCAGCMGCCGCGGTAA sample_1730 saliva M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.991563 11.172998 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
28 550.L6S186.s.6.sequence GTAGCTGACGCA GTGCCAGCMGCCGCGGTAA sample_1741 saliva M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 4.099716 11.555792 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
29 550.L6S197.s.6.sequence ACTCACGGTATG GTGCCAGCMGCCGCGGTAA sample_1752 saliva M3 550 Moving pictures of the human microbiome Rob Knight 10.1186/gb-2011-12-5-r50 ERP021896 ... 3.953951 10.386101 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
1970 2382.GM.181.R4.leav.10.12.lane8.NoIndex.L008.s... CGATGTGTGGTT GTGCCAGCMGCCGCGGTAA Leaves HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 1.335486 7.612504 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1971 2382.GM.181.R4.gp.10.12.lane8.NoIndex.L008.seq... GATCCTCATGCG GTGCCAGCMGCCGCGGTAA Grapes HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.316466 5.129634 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1972 2382.GM.181.R3.rhizo.10.12.lane7.NoIndex.L007.... TATCCAAGCGCA GTGCCAGCMGCCGCGGTAA Rhizosphere HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 9.029518 113.700721 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1973 2382.GM.181.R3.leav.10.12.lane8.NoIndex.L008.s... TCCATCGACGTG GTGCCAGCMGCCGCGGTAA Leaves HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.336742 4.742170 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1974 2382.GM.181.R3.gp.10.12.lane8.NoIndex.L008.seq... AGACATACCGTA GTGCCAGCMGCCGCGGTAA Grapes HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.121966 4.951791 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1975 2382.GM.181.R2.root.10.12.lane7.NoIndex.L007.s... GGCATGTTATCG GTGCCAGCMGCCGCGGTAA Roots HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 6.523943 48.856413 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1976 2382.GM.181.R2.rhizo.10.12.lane7.NoIndex.L007.... ACCAATCTCGGC GTGCCAGCMGCCGCGGTAA Rhizosphere HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 8.553171 98.373702 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1977 2382.GM.181.R2.leav.10.12.lane8.NoIndex.L008.s... AGCTCTAGAAAC GTGCCAGCMGCCGCGGTAA Leaves HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.031598 4.116123 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1978 2382.GM.181.R2.gp.10.12.lane8.NoIndex.L008.seq... GATCATTCTCTC GTGCCAGCMGCCGCGGTAA Grapes HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.144597 4.259524 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1979 2382.GM.181.R1.leav.10.12.lane8.NoIndex.L008.s... CCAGACCGCTAT GTGCCAGCMGCCGCGGTAA Leaves HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 1.098354 8.048152 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1980 2382.GM.181.R1.gp.10.12.lane8.NoIndex.L008.seq... TCTGAGGTTGCC GTGCCAGCMGCCGCGGTAA Grapes HS4 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.049765 4.818847 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1981 2382.DPOO1.C1.HA.5.650.gp.9.12.lane8.NoIndex.L... ACCTTACACCTT GTGCCAGCMGCCGCGGTAA Grapes HS3 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.172636 4.406474 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1982 2382.DPOO1.C1.HA.5.649.leav.9.12.lane8.NoIndex... AACCATGCCAAC GTGCCAGCMGCCGCGGTAA Leaves HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.020367 3.148375 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1983 2382.DPOO1.C1.HA.5.648.root.9.12.lane7.NoIndex... GAGGTTCTTGAC GTGCCAGCMGCCGCGGTAA Roots HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 6.035013 54.134147 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1984 2382.DPOO1.C1.HA.5.448.root.4.12.lane7.NoIndex... AGCCTCATGATG GTGCCAGCMGCCGCGGTAA Roots HS10 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 6.658723 61.613640 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1985 2382.DPOO1.C1.HA.4.645.gp.9.12.lane8.NoIndex.L... ACTAGCGTTCAG GTGCCAGCMGCCGCGGTAA Grapes HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.047735 2.771104 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1986 2382.DPOO1.C1.HA.4.644.leav.9.12.lane8.NoIndex... GGTAAGTTTGAC GTGCCAGCMGCCGCGGTAA Leaves HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.018037 1.768118 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1987 2382.DPOO1.C1.HA.3.640.gp.9.12.lane8.NoIndex.L... CCGAAGATTCTG GTGCCAGCMGCCGCGGTAA Grapes HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.096775 4.252410 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1988 2382.DPOO1.C1.HA.3.639.leav.9.12.lane8.NoIndex... TGGAATTCGGCT GTGCCAGCMGCCGCGGTAA Leaves HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.047049 3.368435 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1989 2382.DPOO1.C1.HA.3.32.r1.leav.6.11.lane8.NoInd... TGTATCTTCACC GTGCCAGCMGCCGCGGTAA Leaves HS9 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.040234 5.070915 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1990 2382.DPOO1.C1.HA.3.238.root.9.11.lane1.NoIndex... ATCGTGTGTTGG GTGCCAGCMGCCGCGGTAA Roots HS10 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 7.417508 76.719597 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1991 2382.DPOO1.C1.HA.2.635.gp.9.12.lane8.NoIndex.L... GGCGTTGCATTC GTGCCAGCMGCCGCGGTAA Grapes HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.015675 2.704737 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1992 2382.DPOO1.C1.HA.2.634.leav.9.12.lane8.NoIndex... TCTTCAACTACC GTGCCAGCMGCCGCGGTAA Leaves HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.088071 2.056739 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1993 2382.DPOO1.C1.HA.2.633.root.9.12.lane7.NoIndex... ATGTCACCGCTG GTGCCAGCMGCCGCGGTAA Roots HS1 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 7.351779 75.716918 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1994 2382.DPOO1.C1.HA.2.433.root.4.12.lane7.NoIndex... CCAAACTCGTCG GTGCCAGCMGCCGCGGTAA Roots HS10 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 7.070601 69.265327 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1995 2382.DPOO1.C1.HA.1.630.gp.9.12.lane8.NoIndex.L... TTGCGACAAAGT GTGCCAGCMGCCGCGGTAA Grapes HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.092204 3.604761 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1996 2382.DPOO1.C1.HA.1.629.leav.9.12.lane8.NoIndex... ACTACCTCTTCA GTGCCAGCMGCCGCGGTAA Leaves HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 0.168218 2.056739 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1997 2382.DPOO1.C1.HA.1.628.root.9.12.lane7.NoIndex... AGATGTCCGTCA GTGCCAGCMGCCGCGGTAA Roots HS7 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 6.728780 70.312703 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1998 2382.DPOO1.C1.HA.1.428.root.4.12.lane7.NoIndex... ATGTTTAGACGG GTGCCAGCMGCCGCGGTAA Roots HS10 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 6.353810 50.767095 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable
1999 2382.DPOO1.C1.HA.1.228.root.9.11.lane1.NoIndex... TAGTGCATTCGG GTGCCAGCMGCCGCGGTAA Roots HS10 2382 The soil microbiome influences grapevine-assoc... Jack Gilbert 10.1128/mBio.02527-14 ERP006348 ... 7.228462 83.205352 Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable Not applicable

2000 rows × 76 columns


In [45]:
# reduce map

subset_2k_map_90_100 = subset_2k_map.loc[(subset_2k_map['#SampleID'].isin(samples_150)) &
                                         (subset_2k_map['#SampleID'].isin(samples_90)),]

In [46]:
# pick N random sequences and write to file

subset_2k_map_90_100.sample(n=200)['#SampleID'].to_csv('./200_samples.txt', index=False)

In [47]:
# filter distance matrices by 

!filter_distance_matrix.py -i ./emp_150_gg_1k_unweighted_unifrac.txt \
-o ./emp_150_gg_1k_unweighted_unifrac.200.txt \
--sample_id_fp ./200_samples.txt

!filter_distance_matrix.py -i ./emp_90_gg_1k_unweighted_unifrac.txt \
-o ./emp_90_gg_1k_unweighted_unifrac.200.txt \
--sample_id_fp ./200_samples.txt

In [48]:
# compute PC

!principal_coordinates.py -i ./emp_150_gg_1k_unweighted_unifrac.200.txt -o ./emp_150_gg_1k_unweighted_unifrac.200.txt.pc
!principal_coordinates.py -i ./emp_90_gg_1k_unweighted_unifrac.200.txt -o ./emp_90_gg_1k_unweighted_unifrac.200.txt.pc


/home/jgsanders/miniconda/envs/qiime/lib/python2.7/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:107: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.0380954766005 and the largest is 9.52380296681.
  RuntimeWarning
/home/jgsanders/miniconda/envs/qiime/lib/python2.7/site-packages/skbio/stats/ordination/_principal_coordinate_analysis.py:107: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.0348895730356 and the largest is 9.35412012146.
  RuntimeWarning

In [50]:
# compute procrustes

!transform_coordinate_matrices.py -i emp_90_gg_1k_unweighted_unifrac.200.txt.pc,emp_150_gg_1k_unweighted_unifrac.200.txt.pc  \
-r 999 \
-o procrustes_results/

In [51]:
# make emperor plot of procrustes

!make_emperor.py -c -i procrustes_results/ \
-o procrustes_results/plots/ \
-m ./emp_qiime_mapping_subset_2k_20170606.tsv