Bioconductor-mirror/LEA: LEA: an R package for Landscape and Ecological Association Studies

LEA is an R package dedicated to landscape genomics and ecological association tests. LEA can run analyses of population structure and genome scans for local adaptation. It includes statistical methods for estimating ancestry coefficients from large genotypic matrices and evaluating the number of ancestral populations (snmf, pca); and identifying genetic polymorphisms that exhibit high correlation with some environmental gradient or with the variables used as proxies for ecological pressures (lfmm), and controlling the false discovery rate. LEA is mainly based on optimized C programs that can scale with the dimension of very large data sets.

Getting started

Package details

AuthorEric Frichot <[email protected]>, Olivier Francois <[email protected]>
Bioconductor views Clustering Regression Software StatisticalMethod
MaintainerEric Frichot <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/LEA documentation built on June 7, 2017, 12:54 p.m.