Package: geneAttribution Type: Package Title: Identification of candidate genes associated with genetic variation Version: 1.38.0 Date: 2025-07-24 Author: Arthur Wuster Maintainer: Arthur Wuster Description: 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. License: Artistic-2.0 biocViews: SNP, GenePrediction, GenomeWideAssociation, VariantAnnotation, GenomicVariation 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 RoxygenNote: 5.0.1 VignetteBuilder: knitr Config/pak/sysreqs: make libbz2-dev liblzma-dev libpng-dev libxml2-dev libssl-dev xz-utils zlib1g-dev Repository: Bioconductor 3.23 Date/Publication: 2026-04-28 12:44:06 UTC RemoteUrl: https://github.com/bioc/geneAttribution RemoteRef: RELEASE_3_23 RemoteSha: 73393b236e25d5a9b05a298c5c5a3737da30d0a1 NeedsCompilation: no Packaged: 2026-10-03 07:27:23 UTC; root