mpra

This is the development version of mpra; for the stable release version, see mpra.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6

Analyze massively parallel reporter assays

Bioconductor version: Development (3.24)

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")):

Leslie Myint, Kasper D. Hansen. mpra: Analyze massively parallel reporter assays. doi:10.18129/B9.bioc.mpra, R package version 1.35.0, https://bioconductor.org/packages/mpra.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	FunctionalGenomics, GeneRegulation, Sequencing, Software
Version	1.35.0
In Bioconductor since	BioC 3.6 (R-3.4) (9 years)
License	Artistic-2.0
Depends	R (>= 3.5.0), methods, BiocGenerics, SummarizedExperiment, limma
Imports	S4Vectors, scales, stats, graphics, statmod
System Requirements
URL	https://github.com/hansenlab/mpra
Bug Reports	https://github.com/hansenlab/mpra/issues

Suggests	BiocStyle, knitr, rmarkdown, RUnit
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	mpra_1.35.0.tar.gz
Windows Binary (x86_64)	mpra_1.35.0.zip
macOS Binary (big-sur-x86_64)	mpra_1.35.0.tgz
macOS Binary (sonoma-arm64)	mpra_1.35.0.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