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Analyze massively parallel reporter assays

Bioconductor version: Release (3.18)

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 "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

mpra User's Guide HTML R Script
Reference Manual PDF


biocViews FunctionalGenomics, GeneRegulation, Sequencing, Software
Version 1.24.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 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
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Suggests BiocStyle, knitr, rmarkdown, RUnit
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Package Archives

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

Source Package mpra_1.24.0.tar.gz
Windows Binary mpra_1.24.0.zip (64-bit only)
macOS Binary (x86_64) mpra_1.24.0.tgz
macOS Binary (arm64) mpra_1.24.0.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/
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