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ribosomeProfilingQC

This is thereleased version of ribosomeProfilingQC; for the devel version, seeribosomeProfilingQC.

Ribosome Profiling Quality Control

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DOI: 10.18129/B9.bioc.ribosomeProfilingQC


Bioconductor version: Release (3.22)

Ribo-Seq (also named ribosome profiling or footprinting) measures translatome (unlike RNA-Seq, which sequences the transcriptome) by direct quantification of the ribosome-protected fragments (RPFs). This package provides the tools for quality assessment of ribosome profiling. In addition, it can preprocess Ribo-Seq data for subsequent differential analysis.

Author: Jianhong Ou [aut, cre]ORCID iD ORCID: 0000-0002-8652-2488, Mariah Hoye [aut]

Maintainer: Jianhong Ou <jou at morgridge.org>

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

Installation

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

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

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("ribosomeProfilingQC")
ribosomeProfilingQC VignetteHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCoverage,GeneRegulation,QualityControl,RiboSeq,Sequencing,Software,Visualization
Version1.22.0
In Bioconductor sinceBioC 3.11 (R-4.0) (5.5 years)
LicenseGPL (>=3) + fileLICENSE
DependsR (>= 4.0),GenomicRanges
ImportsAnnotationDbi,BiocGenerics,Biostrings,BSgenome,EDASeq,GenomicAlignments,GenomicFeatures,Seqinfo,GenomeInfoDb,IRanges, methods,motifStack,rtracklayer,Rsamtools,RUVSeq,Rsubread,S4Vectors,XVector,ggplot2,ggfittext,scales,ggrepel, utils,cluster, stats, graphics, grid,txdbmaker,ggExtra
System Requirements
URL
See More
SuggestsRUnit,BiocStyle,knitr,BSgenome.Drerio.UCSC.danRer10,GenomeInfoDbData,edgeR,DESeq2,limma,ashr,testthat,rmarkdown,vsn,Biobase
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageribosomeProfilingQC_1.22.0.tar.gz
Windows Binary (x86_64) ribosomeProfilingQC_1.22.0.zip
macOS Binary (x86_64)ribosomeProfilingQC_1.22.0.tgz
macOS Binary (arm64)ribosomeProfilingQC_1.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ribosomeProfilingQC
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ribosomeProfilingQC
Bioc Package Browserhttps://code.bioconductor.org/browse/ribosomeProfilingQC/
Package Short Urlhttps://bioconductor.org/packages/ribosomeProfilingQC/
Package Downloads ReportDownload Stats

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