Eagle: 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.

Version: 2.5
Depends: R (≥ 4.0), shinyFiles, shinyBS, ggplot2, ggthemes, plotly
Imports: R.utils, mmap, shiny, shinythemes, shinyjs, fontawesome, stats, utils, parallel, data.table
LinkingTo: RcppEigen, Rcpp
Published: 2021-11-30
Author: 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]
Maintainer: Andrew George <geo047 at gmail.com>
Contact: geo047@gmail.com
License: GPL-3
URL: http://eagle.r-forge.r-project.org
NeedsCompilation: yes
Citation: Eagle citation info
Materials: NEWS
CRAN checks: Eagle results

Documentation:

Reference manual: Eagle.pdf

Downloads:

Package source: Eagle_2.5.tar.gz
Windows binaries: r-devel: Eagle_2.5.zip, r-release: Eagle_2.5.zip, r-oldrel: Eagle_2.5.zip
macOS binaries: r-release (arm64): Eagle_2.5.tgz, r-oldrel (arm64): Eagle_2.5.tgz, r-release (x86_64): Eagle_2.5.tgz
Old sources: Eagle archive

Linking:

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