mpra

DOI: 10.18129/B9.bioc.mpra    

Analyze massively parallel reporter assays

Bioconductor version: Release (3.11)

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")):

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("mpra")

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("mpra")

 

HTML R Script mpra User's Guide
PDF   Reference Manual
Text   NEWS

Details

biocViews FunctionalGenomics, GeneRegulation, Sequencing, Software
Version 1.10.0
In Bioconductor since BioC 3.6 (R-3.4) (3 years)
License Artistic-2.0
Depends R (>= 3.4.0), methods, BiocGenerics, SummarizedExperiment, limma
Imports S4Vectors, scales, stats, graphics, statmod
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, RUnit
SystemRequirements
Enhances
URL https://github.com/hansenlab/mpra
BugReports https://github.com/hansenlab/mpra/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package mpra_1.10.0.tar.gz
Windows Binary mpra_1.10.0.zip
macOS 10.13 (High Sierra) mpra_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mpra
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mpra
Package Short Url https://bioconductor.org/packages/mpra/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive

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