To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MBASED")

In most cases, you don't need to download the package archive at all.

MBASED

DOI: 10.18129/B9.bioc.MBASED    

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

Package containing functions for ASE analysis using Meta-analysis Based Allele-Specific Expression Detection

Bioconductor version: Development (3.7)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MBASED")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MBASED")

 

PDF R Script MBASED
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, Sequencing, Software, Transcription
Version 1.13.0
In Bioconductor since BioC 3.0 (R-3.1) (3 years)
License Artistic-2.0
Depends RUnit, BiocGenerics, BiocParallel, GenomicRanges, SummarizedExperiment
Imports
LinkingTo
Suggests BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package MBASED_1.13.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) MBASED_1.13.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MBASED
Package Short Url http://bioconductor.org/packages/MBASED/
Package Downloads Report Download Stats

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