In [1]:
using JWAS
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?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.
- homepage: QTL.rocks
- Installation: at the Julia REPL,
Pkg.add("JWAS")
- Documentaion: available here
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
- Show this README file in REPL or notebook using
?JWAS
- For help on a specific function above, type ? followed by its name, e.g.
?runMCMC
and press enter.
- 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
Content source: JuliaPackageMirrors/JWAS.jl
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