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Rqc

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0

Quality Control Tool for High-Throughput Sequencing Data


Bioconductor version: Development (3.24)

Rqc is an optimised tool designed for quality control and assessment of high-throughput sequencing data. It performs parallel processing of entire files and produces a report which contains a set of high-resolution graphics.

Author: Welliton Souza, Benilton Carvalho <beniltoncarvalho at gmail.com>

Maintainer: Welliton Souza <well309 at gmail.com>

Citation (from within R, enter citation("Rqc")):

Welliton Souza, Benilton Carvalho. Rqc: Quality Control Tool for High-Throughput Sequencing Data. doi:10.18129/B9.bioc.Rqc, R package version 1.47.0, https://bioconductor.org/packages/Rqc.

Generated from the package metadata; it may differ from the package's own citation.

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("Rqc")

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("Rqc")
Using Rqc HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DataImport, QualityControl, Sequencing, Software
Version1.47.0
In Bioconductor sinceBioC 3.0 (R-3.1) (12 years)
License GPL (>= 2)
Depends BiocParallel, ShortRead, ggplot2
Imports BiocGenerics (>= 0.25.1), Biostrings, IRanges, methods, S4Vectors, knitr (>= 1.7), BiocStyle, plyr, markdown, grid, reshape2, Rcpp (>= 0.11.6), biovizBase, shiny, Rsamtools, GenomicAlignments, GenomicFiles
System Requirements
URLhttps://github.com/labbcb/Rqc
Bug Reportshttps://github.com/labbcb/Rqc/issues
See More
Suggests rmarkdown, testthat
Linking To Rcpp
Enhances
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Package Archives

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

Source Package Rqc_1.47.0.tar.gz
Windows Binary (x86_64) Rqc_1.47.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) Rqc_1.47.0.tgz
macOS Binary (sonoma-arm64) Rqc_1.47.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/Rqc
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/Rqc
Package Short Url https://bioconductor.org/packages/Rqc/
Package Downloads ReportDownload Stats