Bioc2026 Registration Open!

ribosomeProfilingQC

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

Ribosome Profiling Quality Control


Bioconductor version: Development (3.24)

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, enter citation("ribosomeProfilingQC")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

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("ribosomeProfilingQC")

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("ribosomeProfilingQC")
ribosomeProfilingQC Vignette HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Coverage, GeneRegulation, QualityControl, RiboSeq, Sequencing, Software, Visualization
Version 1.25.1
In Bioconductor since BioC 3.11 (R-4.0) (6.5 years)
License GPL (>=3) + file LICENSE
Depends R (>= 4.0), GenomicRanges
Imports AnnotationDbi, BiocGenerics, Biostrings, BSgenome, cigarillo, 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
Suggests RUnit, BiocStyle, knitr, BSgenome.Drerio.UCSC.danRer10, GenomeInfoDbData, edgeR, DESeq2, limma, ashr, testthat, rmarkdown, vsn, Biobase
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package ribosomeProfilingQC_1.25.1.tar.gz
Windows Binary (x86_64) ribosomeProfilingQC_1.25.1.zip (64-bit only)
macOS Binary (big-sur-x86_64) ribosomeProfilingQC_1.25.1.tgz
macOS Binary (sonoma-arm64) ribosomeProfilingQC_1.25.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/ribosomeProfilingQC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ribosomeProfilingQC
Bioc Package Browser https://code.bioconductor.org/browse/ribosomeProfilingQC/
Package Short Url https://bioconductor.org/packages/ribosomeProfilingQC/
Package Downloads Report Download Stats