mpra

Analyze massively parallel reporter assays

Bioconductor version: Release (3.19)

Tools for data management, count preprocessing, and differential analysis in massively parallel report assays (MPRA).

Author: Leslie Myint [cre, aut], Kasper D. Hansen [aut]

Maintainer: Leslie Myint <leslie.myint at gmail.com>

Citation (from within R, enter citation("mpra")):

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("mpra")

For older versions of R, please refer to the appropriate Bioconductor release.

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

browseVignettes("mpra")

biocViews	FunctionalGenomics, GeneRegulation, Sequencing, Software
Version	1.26.2
In Bioconductor since	BioC 3.6 (R-3.4) (7 years)
License	Artistic-2.0
Depends	R (>= 3.5.0), methods, BiocGenerics, SummarizedExperiment, limma
Imports	S4Vectors, scales, stats, graphics, statmod
System Requirements
URL	https://github.com/hansenlab/mpra
Bug Reports	https://github.com/hansenlab/mpra/issues

Suggests	BiocStyle, knitr, rmarkdown, RUnit
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report

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

Source Package	mpra_1.26.2.tar.gz
Windows Binary (x86_64)	mpra_1.26.2.zip
macOS Binary (x86_64)	mpra_1.26.2.tgz
macOS Binary (arm64)	mpra_1.26.2.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mpra
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/mpra
Bioc Package Browser	https://code.bioconductor.org/browse/mpra/
Package Short Url	https://bioconductor.org/packages/mpra/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.19	Source Archive