JWAS Module


In [1]:
using JWAS

In [2]:
?JWAS


search: JWAS

Out[2]:

JWAS.jl

JWAS.jl is an open-source software tool written in Julia for Bayesian multiple regression methods applied to genome-wide association studies and genomic prediction.

Structure of JWAS Module

JWAS.jl

├──────── PedModule.jl

├──────── ST.jl
           ├── build_model
           ├── set_covariate
           ├── set_random
           ├── get_pedigree
           ├── add_markers
           ├── outputMCMCsamples
           ├── showMME
           ├── solve
           └── runMCMC

├──────── MT.jl
           ├── MT.build_model
           ├── MT.set_covariate
           ├── MT.set_random
           ├── MT.get_pedigree
           ├── MT.add_markers
           ├── MT.showMME
           ├── MT.solve
           └── MT.runMCMC

├──────── misc.jl
           ├── get_breeding_values
           ├── get_additive_genetic_variances
           ├── get_heritability
           ├── get_correlations
           └── report


├──────── Datasets.jl

Help

  1. Show this README file in REPL or notebook using ?JWAS
  2. For help on a specific function above, type ? followed by its name, e.g. ?runMCMC and press enter.
  3. Run Pkg.checkout("JWAS") to get the newest unofficial JWAS. Run Pkg.free("JWAS") to go back to the offical one.

In [3]:
using JWAS
#using JWAS.PedModule,JWAS.misc

In [4]:
?add_markers


search: add_markers

Out[4]:
add_markers(mme::MME,file,G;separator=' ',header=true,G_is_marker_variance=false,df=4)
  • Get marker informtion from a genotype file (same order as the phenotype file).
  • G defaults to the marker effect variance with degree of freedom df=4.0.
  • File format:
Animal,marker1,marker2,marker3,marker4,marker5
S1,1,0,1,1,1
D1,2,0,2,2,1
O1,1,2,0,1,0
O3,0,0,2,1,1