mpra

DOI: 10.18129/B9.bioc.mpra    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see mpra.

Analyze massively parallel reporter assays

Bioconductor version: 3.8

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>

Installation

To install this package, start R (version "3.5") 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	1.4.1
In Bioconductor since	BioC 3.6 (R-3.4) (1.5 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_1.4.1.tar.gz
Windows Binary	mpra_1.4.1.zip
Mac OS X 10.11 (El Capitan)	mpra_1.4.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mpra
Source Repository (Developer Access)	git clone [email protected]:packages/mpra
Package Short Url	http://bioconductor.org/packages/mpra/
Package Downloads Report	Download Stats