To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GENESIS")

In most cases, you don't need to download the package archive at all.

GENESIS

   

This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see GENESIS.

GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness

Bioconductor version: 3.1

The GENESIS package provides methodology for estimating, inferring, and accounting for population and pedigree structure in genetic analyses. The current implementation provides functions to perform PC-AiR (Conomos et al., 2015): a Principal Components Analysis with genome-wide SNP genotype data for robust population structure inference in samples with related individuals (known or cryptic).

Author: Matthew P. Conomos and Timothy Thornton

Maintainer: Matthew P. Conomos <mconomos at uw.edu>

Citation (from within R, enter citation("GENESIS")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GENESIS")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GENESIS")

 

HTML R Script Principal Components Analysis in Related Samples (PC-AiR) using the GENESIS Package
PDF   Reference Manual
Text   NEWS

Details

biocViews BiocViews, DimensionReduction, GeneticVariability, Genetics, GenomeWideAssociation, PrincipalComponent, QualityControl, SNP, Software, StatisticalMethod
Version 1.0.0
In Bioconductor since BioC 3.1 (R-3.2) (1 year)
License GPL-3
Depends GWASTools
Imports
LinkingTo
Suggests gdsfmt, SNPRelate, RUnit, BiocGenerics, knitr
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source GENESIS_1.0.0.tar.gz
Windows Binary GENESIS_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) GENESIS_1.0.0.tgz
Mac OS X 10.9 (Mavericks) GENESIS_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GENESIS/tree/release-3.1
Package Short Url http://bioconductor.org/packages/GENESIS/
Package Downloads Report Download Stats

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