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

   

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

Bioconductor version: 3.2

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) and PC-Relate (Conomos et al., In Review). PC-AiR performs a Principal Components Analysis on genome-wide SNP data for the detection of population structure in a sample that may contain known or cryptic relatedness. Unlike standard PCA, PC-AiR accounts for relatedness in the sample to provide accurate ancestry inference that is not confounded by family structure. PC-Relate uses ancestry representative principal components to adjust for population structure/ancestry and accurately estimate measures of recent genetic relatedness such as kinship coefficients, IBD sharing probabilities, and inbreeding coefficients.

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 Population Structure and Relatedness Inference using the GENESIS Package
PDF   Reference Manual
Text   NEWS

Details

biocViews BiocViews, DimensionReduction, GeneticVariability, Genetics, GenomeWideAssociation, PrincipalComponent, QualityControl, SNP, Software, StatisticalMethod
Version 2.0.1
In Bioconductor since BioC 3.1 (R-3.2) (1 year)
License GPL-3
Depends GWASTools
Imports gdsfmt
LinkingTo
Suggests 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_2.0.1.tar.gz
Windows Binary GENESIS_2.0.1.zip
Mac OS X 10.6 (Snow Leopard) GENESIS_2.0.0.tgz
Mac OS X 10.9 (Mavericks) GENESIS_2.0.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GENESIS/tree/release-3.2
Package Short Url http://bioconductor.org/packages/GENESIS/
Package Downloads Report Download Stats

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