This is the development version of geneAttribution; for the stable release version, see geneAttribution.
Identification of candidate genes associated with genetic variationBioconductor version: Development (3.22)
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, entercitation("geneAttribution")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("geneAttribution")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("geneAttribution")Follow Installation instructions to use this package in your R session.
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