A Simple Framework to Analyse Population and Landscape Genetic
Data
Provides beginner friendly framework to analyse population genetic
data. Based on 'adegenet' objects it uses 'knitr' to create comprehensive reports on spatial genetic data.
For detailed information how to use the package refer to the comprehensive
tutorials or visit <http://www.popgenreport.org/>.

lattice, RgoogleMaps, gap, calibrate, xtable, plyr, dismo,
reshape, ggplot2, R.utils, ade4, pegas, genetics, rgdal,
gdistance, vegan, sp, mmod, GGally, data.table, graphics,
grDevices, methods, stats, utils, raster

lattice, RgoogleMaps, gap, calibrate, xtable, plyr, dismo,
reshape, ggplot2, R.utils, ade4, pegas, genetics, rgdal,
gdistance, vegan, sp, mmod, GGally, graphics, grDevices,
methods, stats, utils, raster

PopGenome is an R-library for Population Genetic Analysis

An efficient swiss army knife for population genetic & genomic
analysis
PopGenome is an R-library for Population Genetic & Genomic
Analysis

R (>= 1.8.0), methods, ape, ff, bigmemory
PopGenome is an R-package for Population Genetic & Genomic
Analysis

A swiss army knife for population genetic & genomic analysis

PopGenome is an R-package for Population Genetic & Genomic Analysis

This package uses zlib, Tabix and BGZF. Zlib by Jean-loup
Gally <jloup@gzip> and Mark Adler <madler@alumni.caltech.edu>,
uses the Zlib licence. Tabix by Heng Li <lh3@live.co.uk> use
the MIT licence. BGZF by Bob Handsaker and modified by Heng Li
uses the MIT licence.

An Efficient Swiss Army Knife for Population Genomic Analyses

Bastian Pfeifer [aut, cre], Ulrich Wittelsbuerger [ctb], Heng Li [ctb], Bob Handsaker [ctb]
c(	person("Bastian", "Pfeifer", role = c("aut", "cre"), email = "Bastian.Pfeifer@uni-duesseldorf.de"),
person("Ulrich", "Wittelsbuerger", role = "ctb"),
person("Heng", "Li", role = "ctb"),
person("Bob", "Handsaker", role = "ctb")			)
Provides efficient tools for population genomics data analysis,
able to process individual loci, large sets of loci, or whole genomes. PopGenome 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.