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Quality Control Tool for High-Throughput Sequencing Data

Bioconductor version: Release (3.19)

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>

Maintainer: Welliton Souza <well309 at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Using Rqc HTML R Script
Reference Manual PDF


biocViews DataImport, QualityControl, Sequencing, Software
Version 1.38.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 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
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Follow Installation instructions to use this package in your R session.

Source Package Rqc_1.38.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) Rqc_1.38.0.tgz
macOS Binary (arm64) Rqc_1.38.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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