To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("geneAttribution")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("geneAttribution")
HTML | Vignette Title | |
Reference Manual | ||
Text | NEWS |
biocViews | GenePrediction, GenomeWideAssociation, GenomicVariation, SNP, Software, VariantAnnotation |
Version | 1.2.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (1 year) |
License | Artistic-2.0 |
Depends | |
Imports | utils, GenomicRanges, org.Hs.eg.db, BiocGenerics, GenomeInfoDb, GenomicFeatures, IRanges, rtracklayer |
LinkingTo | |
Suggests | TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, knitr, rmarkdown, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | geneAttribution_1.2.0.tar.gz |
Windows Binary | geneAttribution_1.2.0.zip |
Mac OS X 10.11 (El Capitan) | geneAttribution_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/geneAttribution |
Package Short Url | http://bioconductor.org/packages/geneAttribution/ |
Package Downloads Report | Download Stats |
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