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Statistical Analysis of MPRA data

Bioconductor version: Release (3.19)

MPRAnalyze provides statistical framework for the analysis of data generated by Massively Parallel Reporter Assays (MPRAs), used to directly measure enhancer activity. MPRAnalyze can be used for quantification of enhancer activity, classification of active enhancers and comparative analyses of enhancer activity between conditions. MPRAnalyze construct a nested pair of generalized linear models (GLMs) to relate the DNA and RNA observations, easily adjustable to various experimental designs and conditions, and provides a set of rigorous statistical testig schemes.

Author: Tal Ashuach [aut, cre], David S Fischer [aut], Anat Kriemer [ctb], Fabian J Theis [ctb], Nir Yosef [ctb],

Maintainer: Tal Ashuach <tal_ashuach at>

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


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

Analyzing MPRA data with MPRAnalyze HTML R Script
Reference Manual PDF


biocViews CellBasedAssays, CellBiology, Classification, DifferentialExpression, ExperimentalDesign, GeneExpression, ImmunoOncology, Sequencing, Software, StatisticalMethod
Version 1.22.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License GPL-3
Imports BiocParallel, methods, progress, stats, SummarizedExperiment
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Follow Installation instructions to use this package in your R session.

Source Package MPRAnalyze_1.22.0.tar.gz
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macOS Binary (x86_64) MPRAnalyze_1.22.0.tgz
macOS Binary (arm64) MPRAnalyze_1.22.0.tgz
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