This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see qcmetrics.
A Framework for Quality ControlBioconductor version: 3.10
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 <lg390 at cam.ac.uk>
Citation (from within R, entercitation("qcmetrics")
): Installation
To install this package, start R (version "3.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("qcmetrics")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("qcmetrics")
Index file for the qcmetrics package vignette HTML R Script The 'qcmetrics' infrastructure for quality control and reporting PDF R Script Reference Manual PDF NEWS Text Details biocViews ImmunoOncology, MassSpectrometry, Microarray, Proteomics, QualityControl, ReportWriting, Software, Visualization Version 1.24.0 In Bioconductor since BioC 2.13 (R-3.0) (10.5 years) License GPL-2 Depends R (>= 3.3) Imports Biobase, methods, knitr, tools, Nozzle.R1, xtable, pander, S4Vectors System Requirements URL https://github.com/lgatto/qcmetrics Bug Reports https://github.com/lgatto/qcmetrics/issues See More Suggests affy, MSnbase, ggplot2, lattice, yaqcaffy, MAQCsubsetAFX, RforProteomics, AnnotationDbi, mzR, hgu133plus2cdf, BiocStyle Linking To Enhances Depends On Me Imports Me MSstatsQC Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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