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crupR

This is thereleased version of crupR; for the devel version, seecrupR.

An R package to predict condition-specific enhancers from ChIP-seq data

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DOI: 10.18129/B9.bioc.crupR


Bioconductor version: Release (3.22)

An R package that offers a workflow to predict condition-specific enhancers from ChIP-seq data. The prediction of regulatory units is done in four main steps: Step 1 - the normalization of the ChIP-seq counts. Step 2 - the prediction of active enhancers binwise on the whole genome. Step 3 - the condition-specific clustering of the putative active enhancers. Step 4 - the detection of possible target genes of the condition-specific clusters using RNA-seq counts.

Author: Persia Akbari Omgba [cre], Verena Laupert [aut], Martin Vingron [aut]

Maintainer: Persia Akbari Omgba <omgba at molgen.mpg.de>

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

Installation

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

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

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("crupR")
crupR VignetteHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDifferentialPeakCalling,FunctionalPrediction,GeneTarget,HistoneModification,PeakDetection,Software
Version1.2.0
In Bioconductor sinceBioC 3.21 (R-4.5) (0.5 years)
LicenseGPL-3
DependsR (>= 4.4.0)
Importsbamsignals,Rsamtools,GenomicRanges,preprocessCore,randomForest,rtracklayer,Seqinfo,S4Vectors,ggplot2,matrixStats,dplyr,IRanges,GenomicAlignments,GenomicFeatures,TxDb.Mmusculus.UCSC.mm10.knownGene,TxDb.Mmusculus.UCSC.mm9.knownGene,TxDb.Hsapiens.UCSC.hg19.knownGene,TxDb.Hsapiens.UCSC.hg38.knownGene,reshape2,magrittr, stats, utils, grDevices,SummarizedExperiment,BiocParallel,fs, methods
System Requirements
URLhttps://github.com/akbariomgba/crupR
Bug Reportshttps://github.com/akbariomgba/crupR/issues
See More
SuggestsGenomeInfoDb,testthat,BiocStyle,knitr,rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagecrupR_1.2.0.tar.gz
Windows Binary (x86_64) crupR_1.2.0.zip
macOS Binary (x86_64)crupR_1.2.0.tgz
macOS Binary (arm64)crupR_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/crupR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/crupR
Bioc Package Browserhttps://code.bioconductor.org/browse/crupR/
Package Short Urlhttps://bioconductor.org/packages/crupR/
Package Downloads ReportDownload Stats

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