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.

Author
Arthur Wuster
Date of publication
None
Maintainer
Arthur Wuster <wustera@gene.com>
License
Artistic-2.0
Version
1.0.0

View on Bioconductor

Man pages

geneAttribution
geneAttribution: Identification of candidate genes associated...
geneModels
Load gene models
loadBed
Load UCSC *.BED files containing empirical data
normP
Normalize likelihoods and return probabilities

Files in this package

geneAttribution/DESCRIPTION
geneAttribution/NAMESPACE
geneAttribution/R
geneAttribution/R/geneAttribution.R
geneAttribution/README.md
geneAttribution/build
geneAttribution/build/vignette.rds
geneAttribution/inst
geneAttribution/inst/NEWS
geneAttribution/inst/doc
geneAttribution/inst/doc/geneAttribution.Rmd
geneAttribution/inst/doc/geneAttribution.html
geneAttribution/inst/extdata
geneAttribution/inst/extdata/eqtlHaplotypeBlocks.b38.bed
geneAttribution/inst/extdata/hiCRegions.b38.bed
geneAttribution/man
geneAttribution/man/geneAttribution.Rd
geneAttribution/man/geneModels.Rd
geneAttribution/man/loadBed.Rd
geneAttribution/man/normP.Rd
geneAttribution/tests
geneAttribution/tests/testthat
geneAttribution/tests/testthat.R
geneAttribution/tests/testthat/testGeneAttribution.R
geneAttribution/vignettes
geneAttribution/vignettes/geneAttribution.Rmd