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gDNAinRNAseqData

This is thereleased version of gDNAinRNAseqData; for the devel version, seegDNAinRNAseqData.

RNA-seq data with different levels of gDNA contamination

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DOI: 10.18129/B9.bioc.gDNAinRNAseqData


Bioconductor version: Release (3.22)

Provides access to BAM files generated from RNA-seq data produced with different levels of gDNA contamination. It currently allows one to download a subset of the data published by Li et al., BMC Genomics, 23:554, 2022. This subset of data is formed by BAM files with about 100,000 alignments with three different levels of gDNA contamination.

Author: Robert Castelo [aut, cre]ORCID iD ORCID: 0000-0003-2229-4508

Maintainer: Robert Castelo <robert.castelo at upf.edu>

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

Installation

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

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

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("gDNAinRNAseqData")
RNA-seq data with different levels of gDNA contaminationHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsExperimentData,ExperimentHub,ExpressionData,Homo_sapiens_Data,RNASeqData,SequencingData
Version1.10.0
LicenseArtistic-2.0
DependsR (>= 4.3)
ImportsRCurl,XML,ExperimentHub,BiocGenerics,Rsamtools
System Requirements
URLhttps://github.com/functionalgenomics/gDNAinRNAseqData
Bug Reportshttps://github.com/functionalgenomics/gDNAinRNAseqData
See More
SuggestsBiocStyle,knitr,rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests MegDNAx
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagegDNAinRNAseqData_1.10.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/gDNAinRNAseqData
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/gDNAinRNAseqData
Package Short Urlhttps://bioconductor.org/packages/gDNAinRNAseqData/
Package Downloads ReportDownload Stats

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