geneAttribution
Identification of candidate genes associated with genetic variation
Bioconductor version: Release (3.17)
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 gene.com>
citation("geneAttribution")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("geneAttribution")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("geneAttribution")
Vignette Title | HTML |
Reference Manual | |
NEWS | Text |
Details
biocViews | GenePrediction, GenomeWideAssociation, GenomicVariation, SNP, Software, VariantAnnotation |
Version | 1.26.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (7 years) |
License | Artistic-2.0 |
Depends | |
Imports | utils, GenomicRanges, org.Hs.eg.db, BiocGenerics, GenomeInfoDb, GenomicFeatures, IRanges, rtracklayer |
Linking To | |
Suggests | TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, knitr, rmarkdown, testthat |
System Requirements | |
Enhances | |
URL |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | geneAttribution_1.26.0.tar.gz |
Windows Binary | geneAttribution_1.26.0.zip |
macOS Binary (x86_64) | geneAttribution_1.26.0.tgz |
macOS Binary (arm64) | geneAttribution_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/geneAttribution |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/geneAttribution |
Bioc Package Browser | https://code.bioconductor.org/browse/geneAttribution/ |
Package Short Url | https://bioconductor.org/packages/geneAttribution/ |
Package Downloads Report | Download Stats |