Package: statgenGWAS 1.0.9.9000

Bart-Jan van Rossum

statgenGWAS: Genome Wide Association Studies

Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.

Authors:Bart-Jan van Rossum [aut, cre], Willem Kruijer [aut], Fred van Eeuwijk [ctb], Martin Boer [ctb], Marcos Malosetti [ctb], Daniela Bustos-Korts [ctb], Emilie Millet [ctb], Joao Paulo [ctb], Maikel Verouden [ctb], Ron Wehrens [ctb], Choazhi Zheng [ctb]

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statgenGWAS.pdf |statgenGWAS.html✨
statgenGWAS/json (API)
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Peer review:

Bug tracker:https://github.com/biometris/statgengwas/issues

On CRAN:

geneticsgwas

5 exports 12 stars 2.25 score 34 dependencies 3 dependents 1 mentions 12 scripts 591 downloads

Last updated 2 years agofrom:88a43aec8f. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:codeMarkerscreateGDatakinshipreadPLINKrunSingleTraitGwas

Dependencies:clicolorspacecrayondata.tablefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppProgressrlangscalessommertibbleutf8vctrsviridisLitewithr