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PWMEnrich

This is thereleased version of PWMEnrich; for the devel version, seePWMEnrich.

PWM enrichment analysis

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DOI: 10.18129/B9.bioc.PWMEnrich


Bioconductor version: Release (3.22)

A toolkit of high-level functions for DNA motif scanning and enrichment analysis built upon Biostrings. The main functionality is PWM enrichment analysis of already known PWMs (e.g. from databases such as MotifDb), but the package also implements high-level functions for PWM scanning and visualisation. The package does not perform "de novo" motif discovery, but is instead focused on using motifs that are either experimentally derived or computationally constructed by other tools.

Author: Robert Stojnic, Diego Diez

Maintainer: Diego Diez <diego10ruiz at gmail.com>

Citation (from within R, entercitation("PWMEnrich")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PWMEnrich")
Overview of the 'PWMEnrich' packagePDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsMotifAnnotation,SequenceMatching,Software
Version4.46.0
In Bioconductor sinceBioC 2.11 (R-2.15) (13 years)
LicenseLGPL (>= 2)
DependsR (>= 3.5.0), methods,BiocGenerics,Biostrings
Importsgrid,seqLogo,gdata,evd,S4Vectors
System Requirements
URL
See More
SuggestsMotifDb,BSgenome,BSgenome.Dmelanogaster.UCSC.dm3,PWMEnrich.Dmelanogaster.background,testthat,gtools, parallel,PWMEnrich.Hsapiens.background,PWMEnrich.Mmusculus.background,BiocStyle,knitr
Linking To
Enhances
Depends On MePWMEnrich.Dmelanogaster.background,PWMEnrich.Hsapiens.background,PWMEnrich.Mmusculus.background
Imports Me
Suggests MerTRM
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagePWMEnrich_4.46.0.tar.gz
Windows Binary (x86_64) PWMEnrich_4.46.0.zip
macOS Binary (x86_64)PWMEnrich_4.46.0.tgz
macOS Binary (arm64)PWMEnrich_4.46.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/PWMEnrich
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/PWMEnrich
Bioc Package Browserhttps://code.bioconductor.org/browse/PWMEnrich/
Package Short Urlhttps://bioconductor.org/packages/PWMEnrich/
Package Downloads ReportDownload Stats

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