PopGenome: An Efficient Swiss Army Knife for Population Genomic Analyses

Provides efficient tools for population genomics data analysis, able to process individual loci, large sets of loci, or whole genomes. PopGenome <doi:10.1093/molbev/msu136> not only implements a wide range of population genetics statistics, but also facilitates the easy implementation of new algorithms by other researchers. PopGenome is optimized for speed via the seamless integration of C code.

Version: 2.7.1
Depends: R (≥ 2.14.2), ff
Imports: methods
Suggests: parallel, bigmemory, BASIX, WhopGenome, BlockFeST
Published: 2019-05-11
Author: Bastian Pfeifer [aut, cre], Ulrich Wittelsbuerger [ctb], Heng Li [ctb], Bob Handsaker [ctb]
Maintainer: Bastian Pfeifer <bastianxpfeifer at gmail.com>
License: GPL-3
Copyright: inst/COPYRIGHTS
PopGenome copyright details
URL: http://popgenome.weebly.com
NeedsCompilation: yes
SystemRequirements: zlib headers and library.
Citation: PopGenome citation info
Materials: NEWS
CRAN checks: PopGenome results


Reference manual: PopGenome.pdf
Vignettes: An introduction to the PopGenome package
Integration of new Methods
Whole genome analyses using VCF files
Package source: PopGenome_2.7.1.tar.gz
Windows binaries: r-devel: PopGenome_2.7.1.zip, r-devel-gcc8: PopGenome_2.7.1.zip, r-release: PopGenome_2.7.1.zip, r-oldrel: PopGenome_2.7.1.zip
OS X binaries: r-release: PopGenome_2.7.1.tgz, r-oldrel: PopGenome_2.7.1.tgz
Old sources: PopGenome archive

Reverse dependencies:

Reverse suggests: BlockFeST, coala


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