mpra

DOI: 10.18129/B9.bioc.mpra    

Analyze massively parallel reporter assays

Bioconductor version: Release (3.6)

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 <lmyint1 at jhu.edu>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mpra")

Documentation

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

Details

biocViews	FunctionalGenomics, GeneRegulation, Sequencing, Software
Version	1.0.0
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
Build Report

Package Archives

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

Source Package	mpra_1.0.0.tar.gz
Windows Binary	mpra_1.0.0.zip
Mac OS X 10.11 (El Capitan)	mpra_1.0.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mpra
Package Short Url	http://bioconductor.org/packages/mpra/
Package Downloads Report	Download Stats