MPRAnalyze
This is the released version of MPRAnalyze; for the devel version, see MPRAnalyze.
All Bioconductor versions of MPRAnalyze
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
Statistical Analysis of MPRA data
Bioconductor version: 3.23 · Package version: 1.30.0
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 berkeley.edu>
Citation
From within R, enter citation("MPRAnalyze"):
Tal Ashuach, David S Fischer. MPRAnalyze: Statistical Analysis of MPRA data. doi:10.18129/B9.bioc.MPRAnalyze, R package version 1.30.0, https://bioconductor.org/packages/MPRAnalyze.
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")
BiocManager::install("MPRAnalyze")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.30.0 |
| License | GPL-3 |
| URL | https://github.com/YosefLab/MPRAnalyze |
| Bug Reports | https://github.com/YosefLab/MPRAnalyze |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.8 (R-3.5) (7 years) |
| Downloads rank | 1575 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | CellBasedAssays, CellBiology, Classification, DifferentialExpression, ExperimentalDesign, GeneExpression, ImmunoOncology, Sequencing, Software, StatisticalMethod |
| Package Short Url | https://bioconductor.org/packages/MPRAnalyze/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MPRAnalyze")| Analyzing MPRA data with MPRAnalyze | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | MPRAnalyze_1.30.0.tar.gz |
| Windows binary (x86_64) | MPRAnalyze_1.30.0.zip |
| macOS binary (arm64) | MPRAnalyze_1.30.0.tgz |
| macOS binary (x86_64) | MPRAnalyze_1.30.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MPRAnalyze |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MPRAnalyze |
| Package Downloads Report | Download Stats |