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MBASED

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

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, 3.3, 3.2, 3.1, 3.0

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


Bioconductor version: Development (3.24)

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")):

Oleg Mayba, Houston Gilbert. MBASED: Package containing functions for ASE analysis using Meta-analysis Based Allele-Specific Expression Detection. doi:10.18129/B9.bioc.MBASED, R package version 1.47.0, https://bioconductor.org/packages/MBASED.

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("MBASED")

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("MBASED")
MBASED PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews GeneExpression, Sequencing, Software, Transcription
Version1.47.0
In Bioconductor sinceBioC 3.0 (R-3.1) (12 years)
License Artistic-2.0
Depends RUnit, BiocGenerics, BiocParallel, GenomicRanges, SummarizedExperiment
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Package Archives

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

Source Package MBASED_1.47.0.tar.gz
Windows Binary (x86_64) MBASED_1.47.0.zip
macOS Binary (big-sur-x86_64) MBASED_1.47.0.tgz
macOS Binary (sonoma-arm64) MBASED_1.47.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MBASED
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MBASED
Package Short Url https://bioconductor.org/packages/MBASED/
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