Package: geneAttribution 1.39.0

Arthur Wuster

geneAttribution: Identification of candidate genes associated with genetic variation

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.

Authors:Arthur Wuster

geneAttribution_1.39.0.tar.gz
geneAttribution_1.39.0.zip(r-4.7)geneAttribution_1.39.0.zip(r-4.6)geneAttribution_1.39.0.zip(r-4.5)
geneAttribution_1.39.0.tgz(r-4.6-any)geneAttribution_1.39.0.tgz(r-4.5-any)
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geneAttribution_1.39.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
geneAttribution/json (API)
NEWS

# Install 'geneAttribution' in R:
install.packages('geneAttribution', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

On BioConductor:geneAttribution-1.39.0(bioc 3.24)geneAttribution-1.38.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

snpgenepredictiongenomewideassociationvariantannotationgenomicvariation

4.18 score 3 scripts 406 downloads 1 mentions 4 exports 68 dependencies

Last updated from:1ad1d6c7e1. Checks:1 ERROR, 7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR309
linux-devel-x86_64WARNING398
source / vignettesOK355
linux-release-x86_64WARNING383
macos-release-arm64WARNING322
macos-oldrel-arm64WARNING247
windows-develWARNING328
windows-releaseWARNING338
windows-oldrelWARNING349
wasm-releaseOK230

Exports:geneAttributiongeneModelsloadBednormP

Dependencies:abindAnnotationDbiaskpassBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobcachemcigarilloclicodetoolscpp11crayoncurlDBIDelayedArrayfastmapformatRfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecycleMatrixMatrixGenericsmatrixStatsmemoisemimeopensslorg.Hs.eg.dbpkgconfigpngR6RCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorsSeqinfosnowSparseArraySummarizedExperimentsysvctrsXMLXVectoryaml

geneAttribution: Identification of Candidate Genes Associated with Noncoding Genetic Variation

Arthur Wuster

Rendered fromgeneAttribution.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2016-10-07
Started: 2016-08-26