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A Framework for Quality Control

Bioconductor version: Release (3.19)

The package provides a framework for generic quality control of data. It permits to create, manage and visualise individual or sets of quality control metrics and generate quality control reports in various formats.

Author: Laurent Gatto [aut, cre]

Maintainer: Laurent Gatto <laurent.gatto at>

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


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:

Index file for the qcmetrics package vignette HTML R Script
Reference Manual PDF


biocViews ImmunoOncology, MassSpectrometry, Microarray, Proteomics, QualityControl, ReportWriting, Software, Visualization
Version 1.42.0
In Bioconductor since BioC 2.13 (R-3.0) (11 years)
License GPL-2
Depends R (>= 3.3)
Imports Biobase, methods, knitr, tools, xtable, pander, S4Vectors
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Suggests affy, MSnbase, ggplot2, lattice, mzR, BiocStyle, rmarkdown, markdown
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Depends On Me
Imports Me MSstatsQC
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Follow Installation instructions to use this package in your R session.

Source Package qcmetrics_1.42.0.tar.gz
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macOS Binary (x86_64) qcmetrics_1.42.0.tgz
macOS Binary (arm64) qcmetrics_1.42.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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