MBASED
This is the released version of MBASED; for the devel version, see MBASED.
Package containing functions for ASE analysis using Meta-analysis Based Allele-Specific Expression Detection
Bioconductor version: Release (3.21)
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("MBASED")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | GeneExpression, Sequencing, Software, Transcription |
| Version | 1.42.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (11 years) |
| License | Artistic-2.0 |
| Depends | RUnit, BiocGenerics, BiocParallel, GenomicRanges, SummarizedExperiment |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | MBASED_1.42.0.tar.gz |
| Windows Binary (x86_64) | MBASED_1.42.0.zip (64-bit only) |
| macOS Binary (x86_64) | MBASED_1.42.0.tgz |
| macOS Binary (arm64) | MBASED_1.42.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MBASED |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MBASED |
| Bioc Package Browser | https://code.bioconductor.org/browse/MBASED/ |
| Package Short Url | https://bioconductor.org/packages/MBASED/ |
| Package Downloads Report | Download Stats |