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Bioconductor - MPRAnalyze

MPRAnalyze

This is the released version of MPRAnalyze; for the devel version, see MPRAnalyze.

Statistical Analysis of MPRA data

Bioconductor version: Release (3.21)

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")): Installation

To install this package, start R (version "4.5") 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.

Documentation

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

browseVignettes("MPRAnalyze")
Details biocViews CellBasedAssays, CellBiology, Classification, DifferentialExpression, ExperimentalDesign, GeneExpression, ImmunoOncology, Sequencing, Software, StatisticalMethod Version 1.26.0 In Bioconductor since BioC 3.8 (R-3.5) (6.5 years) License GPL-3 Depends Imports BiocParallel, methods, progress, stats, SummarizedExperiment System Requirements URL https://github.com/YosefLab/MPRAnalyze Bug Reports https://github.com/YosefLab/MPRAnalyze See More Suggests knitr 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.


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