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geneAttribution

Identification of candidate genes associated with genetic variation

Bioconductor version: 3.23 · Package version: 1.38.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("geneAttribution")

Details

MaintainerArthur Wuster <wustera@gene.com>
AuthorArthur Wuster
LicenseArtistic-2.0
Downloads rank452
Source branchRELEASE_3_23
biocViewsGenePrediction, GenomeWideAssociation, GenomicVariation, SNP, Software, VariantAnnotation

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagegeneAttribution_1.38.0.tar.gz
Windows binary (x86_64)geneAttribution_1.38.0.zip
macOS binary (arm64)geneAttribution_1.38.0.tgz
macOS binary (x86_64)geneAttribution_1.38.0.tgz
Dependencies

Imports: utils, GenomicRanges, org.Hs.eg.db, BiocGenerics, Seqinfo, GenomicFeatures, IRanges, rtracklayer

Suggests: TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, knitr, rmarkdown, testthat