To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

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>

Citation (from within R, enter citation("mpra")):

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

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