Bioconductor-mirror/geneAttribution: Identification of candidate genes associated with genetic variation
Version 1.3.0

Identification of the most likely gene or genes through which variation at a given genomic locus in the human genome acts. The most basic functionality assumes that the closer gene is to the input locus, the more likely the gene is to be causative. Additionally, any empirical data that links genomic regions to genes (e.g. eQTL or genome conformation data) can be used if it is supplied in the UCSC .BED file format.

Getting started

Package details

AuthorArthur Wuster
Bioconductor views GenePrediction GenomeWideAssociation GenomicVariation SNP VariantAnnotation
MaintainerArthur Wuster <[email protected]>
LicenseArtistic-2.0
Version1.3.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/geneAttribution")
Bioconductor-mirror/geneAttribution documentation built on June 1, 2017, 9:39 a.m.