statgenGWAS-package: statgenGWAS: Genome Wide Association Studies

In statgenGWAS: Genome Wide Association Studies

statgenGWAS: Genome Wide Association Studies

Description

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.

Author(s)

Maintainer: Bart-Jan van Rossum [e-mail] (ORCID)

Authors:

• Willem Kruijer (ORCID)

Other contributors:

• Fred van Eeuwijk (ORCID) [contributor]

• Martin Boer (ORCID) [contributor]

• Marcos Malosetti (ORCID) [contributor]

• Daniela Bustos-Korts (ORCID) [contributor]

• Emilie Millet (ORCID) [contributor]

• Joao Paulo (ORCID) [contributor]

• Maikel Verouden (ORCID) [contributor]

• Ron Wehrens (ORCID) [contributor]

• Choazhi Zheng (ORCID) [contributor]

See Also

Useful links:

• https://biometris.github.io/statgenGWAS/index.html

• https://github.com/Biometris/statgenGWAS/

• Report bugs at https://github.com/Biometris/statgenGWAS/issues

statgenGWAS documentation built on Oct. 13, 2022, 5:05 p.m.