To install this package, start R and enter:

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

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

geneAttribution

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see geneAttribution.

Identification of candidate genes associated with genetic variation

Bioconductor version: 3.4

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.

Author: Arthur Wuster

Maintainer: Arthur Wuster <wustera at gene.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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PDF   Reference Manual
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Details

biocViews GenePrediction, GenomeWideAssociation, GenomicVariation, SNP, Software, VariantAnnotation
Version 1.0.1
In Bioconductor since BioC 3.4 (R-3.3) (0.5 years)
License Artistic-2.0
Depends
Imports utils, GenomicRanges, org.Hs.eg.db, BiocGenerics, GenomeInfoDb, GenomicFeatures, IRanges, rtracklayer
LinkingTo
Suggests TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, knitr, rmarkdown, testthat
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 geneAttribution_1.0.1.tar.gz
Windows Binary geneAttribution_1.0.1.zip
Mac OS X 10.9 (Mavericks) geneAttribution_1.0.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/geneAttribution/tree/release-3.4
Package Short Url http://bioconductor.org/packages/geneAttribution/
Package Downloads Report Download Stats

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