DOI: 10.18129/B9.bioc.geneAttribution  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see geneAttribution.

Identification of candidate genes associated with genetic variation

Bioconductor version: 3.16

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>

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


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biocViews GenePrediction, GenomeWideAssociation, GenomicVariation, SNP, Software, VariantAnnotation
Version 1.24.0
In Bioconductor since BioC 3.4 (R-3.3) (6.5 years)
License Artistic-2.0
Imports utils, GenomicRanges,, BiocGenerics, GenomeInfoDb, GenomicFeatures, IRanges, rtracklayer
Suggests TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, knitr, rmarkdown, testthat
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