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geneAttribution

This is the development version of geneAttribution; for the stable release version, see geneAttribution.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4

Identification of candidate genes associated with genetic variation

DOI: 10.18129/B9.bioc.geneAttribution

Bioconductor version: Development (3.24)

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

Arthur Wuster. geneAttribution: Identification of candidate genes associated with genetic variation. doi:10.18129/B9.bioc.geneAttribution, R package version 1.39.0, https://bioconductor.org/packages/geneAttribution.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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")

Details

Package Archives

Follow Installation instructions to use this package in your R session.