To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("qcmetrics")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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>
Citation (from within R,
enter citation("qcmetrics")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("qcmetrics")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("qcmetrics")
R Script | The 'qcmetrics' infrastructure for quality control and reporting | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, MassSpectrometry, Microarray, Proteomics, QualityControl, Software, Visualisation |
Version | 1.0.0 |
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 |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | qcmetrics_1.0.0.tar.gz |
Windows Binary | qcmetrics_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | qcmetrics_1.0.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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