Multiple Locus Association Mapping on a Genome-Wide Scale

An implementation of multiple-locus association mapping on a genome-wide scale. 'Eagle' can handle inbred and outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. Since 'Eagle' is based on linear mixed models, it is best suited to the analysis of data on continuous traits. However, it can tolerate non-normal data. 'Eagle' reports, as its findings, the best set of snp in strongest association with a trait. For users unfamiliar with R, to perform an analysis, run 'OpenGUI()'. This opens a web browser to the menu-driven user interface for the input of data, and for performing genome-wide analysis.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("Eagle")

2.1.1 by Andrew George, 2 days ago


http://eagle.r-forge.r-project.org


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


Authors: Andrew George [aut, cre] , Joshua Bowden [ctb] , Ryan Stephenson [ctb] , Hyun Kang [ctb] , Noah Zaitlen [ctb] , Claire Wade [ctb] , Andrew Kirby [ctb] , David Heckerman [ctb] , Mark Daly [ctb] , Eleazar Eskin [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports R.utils, mmap, matrixcalc, shiny, shinythemes, shinyBS, shinyjs, stats, utils, parallel, data.table

Depends on shinyFiles, ggplot2, ggthemes

Linking to RcppEigen, Rcpp


See at CRAN