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MPRAnalyze

This is thereleased version of MPRAnalyze; for the devel version, seeMPRAnalyze.

Statistical Analysis of MPRA data

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DOI: 10.18129/B9.bioc.MPRAnalyze


Bioconductor version: Release (3.22)

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, entercitation("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 appropriateBioconductor release.

Documentation

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

browseVignettes("MPRAnalyze")
Analyzing MPRA data with MPRAnalyzeHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCellBasedAssays,CellBiology,Classification,DifferentialExpression,ExperimentalDesign,GeneExpression,ImmunoOncology,Sequencing,Software,StatisticalMethod
Version1.28.0
In Bioconductor sinceBioC 3.8 (R-3.5) (7 years)
LicenseGPL-3
Depends
ImportsBiocParallel, methods,progress, stats,SummarizedExperiment
System Requirements
URLhttps://github.com/YosefLab/MPRAnalyze
Bug Reportshttps://github.com/YosefLab/MPRAnalyze
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageMPRAnalyze_1.28.0.tar.gz
Windows Binary (x86_64) MPRAnalyze_1.28.0.zip
macOS Binary (x86_64)MPRAnalyze_1.28.0.tgz
macOS Binary (arm64)MPRAnalyze_1.28.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MPRAnalyze
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MPRAnalyze
Bioc Package Browserhttps://code.bioconductor.org/browse/MPRAnalyze/
Package Short Urlhttps://bioconductor.org/packages/MPRAnalyze/
Package Downloads ReportDownload Stats

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