To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("MBASED")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.1)
The package implements MBASED algorithm for detecting allele-specific gene expression from RNA count data, where allele counts at individual loci (SNVs) are integrated into a gene-specific measure of ASE, and utilizes simulations to appropriately assess the statistical significance of observed ASE.
Author: Oleg Mayba, Houston Gilbert
Maintainer: Oleg Mayba <mayba.oleg at gene.com>
Citation (from within R,
enter citation("MBASED")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("MBASED")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MBASED")
R Script | MBASED | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Sequencing, Software, Transcription |
Version | 1.2.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (1 year) |
License | Artistic-2.0 |
Depends | RUnit, BiocGenerics, BiocParallel, GenomicRanges |
Imports | |
LinkingTo | |
Suggests | BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | MBASED_1.2.0.tar.gz |
Windows Binary | MBASED_1.2.0.zip |
Mac OS X 10.6 (Snow Leopard) | MBASED_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | MBASED_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/MBASED/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/MBASED/ |
Package Downloads Report | Download Stats |
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