A Framework for Quality Control

Bioconductor version: Development (3.0)

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

Maintainer: Laurent Gatto <lg390 at cam.ac.uk>

To install this package, start R and enter:


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


PDF R Script The 'qcmetrics' infrastructure for quality control and reporting
PDF   Reference Manual
Text   NEWS


biocViews Bioinformatics, MassSpectrometry, Microarray, Proteomics, QualityControl, ReportWriting, Software, Visualisation
Version 1.3.1
In Bioconductor since BioC 2.13 (R-3.0)
License GPL-2
Depends R (>= 2.10)
Imports Biobase, methods, knitr, tools, Nozzle.R1, xtable, pander, S4Vectors
Suggests affy, MSnbase, ggplot2, lattice, yaqcaffy, MAQCsubsetAFX, RforProteomics, AnnotationDbi, mzR, hgu133plus2cdf
System Requirements
URL https://github.com/lgatto/qcmetrics
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source qcmetrics_1.3.1.tar.gz
Windows Binary qcmetrics_1.3.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) qcmetrics_1.3.1.tgz
Mac OS X 10.9 (Mavericks) qcmetrics_1.3.1.tgz
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