Title: PopGenReport: A simple way to analyse and visualize population

Title: A Simple Framework to Analyse Population Genetic Data
Description: Provides beginner friendly framework to analyse population genetic
data. It uses 'knitr' to create comprehensive reports on spatial genetic data.
For detailed information how to use the package refer to the comprehensive
Depends: R (>= 3.0.0), knitr, adegenet (>= 2.0.0), raster
gdistance, vegan, sp, mmod, GGally, data.table, graphics,

Description: Provides beginner friendly framework to analyse population genetic data. 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 www.popgenreport.org.

Title: A Simple Framework to Analyse Population and Landscape Genetic
data. Based on 'adegenet' objects it uses 'knitr' to create comprehensive reports on spatial genetic data.

Depends: R (>= 3.0.0), knitr, adegenet (>= 2.0.0)
grDevices, methods, stats, utils, raster

gdistance, vegan, sp, mmod, GGally, graphics, grDevices,

Description: PopGenome is an R-library for Population Genetic Analysis
Packaged: Fri Jan 27 11:21:33 2012; bapfe

Title: An efficient swiss army knife for population genetic & genomic
Author: Bastian Pfeifer, Ulrich Wittelsbuerger
Description: PopGenome is an R-library for Population Genetic & Genomic

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

Title: A swiss army knife for population genetic & genomic analysis
Depends: R (>= 2.14.2), methods, ape, ff

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

Suggests: parallel, bigmemory, BASIX, WhopGenome
Copyright: 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

Title: An Efficient Swiss Army Knife for Population Genomic Analyses