A Pipeline for Meta-Genome Wide Association

Correlates variation within the meta-genome to target species phenotype variations in meta-genome with association studies. Follows the pipeline described in Chaston, J.M. et al. (2014) .


MAGNAMWAR is used to simplify MGWAS and BGWAS pipelines. It correlates variation within the meta-genome to target species phenotype variations in meta-genome with association studies. For more information and a case study, view the attached vignette.

News

Version 1.0.0

First release of MAGNAMWAR.

Version 2.0.0

Major release of MAGNAMWAR

  • inclusion of prinicipal component analysis option
  • renaming of all functions to be consistent with camelcase
  • additional survival test information in the vignette

Version 2.0.1

Minor text changes in the vignette for publication purposes

Version 2.0.3

Examples don't write to the user's file system

Reference manual

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install.packages("MAGNAMWAR")

2.0.4 by John Chaston, 6 months ago


Browse source code at https://github.com/cran/MAGNAMWAR


Authors: Corinne Sexton [aut] , John Chaston [aut, cre] , Hayden Smith [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ape, coxme, doParallel, dplyr, foreach, iterators, lme4, multcomp, parallel, plyr, qqman, survival, seqinr

Suggests knitr, rmarkdown


See at CRAN