qcmetrics
A Framework for Quality Control
Bioconductor version: 3.23 · Package version: 1.50.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("qcmetrics")Details
| Maintainer | Laurent Gatto <laurent.gatto@uclouvain.be> |
| Author | Laurent Gatto [aut, cre] |
| License | GPL-2 |
| URL | http://lgatto.github.io/qcmetrics/articles/qcmetrics.html |
| Bug Reports | https://github.com/lgatto/qcmetrics/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | ImmunoOncology, MassSpectrometry, Microarray, Proteomics, QualityControl, ReportWriting, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/qcmetrics/ |
Citation
From within R, enter citation("qcmetrics"):
Laurent Gatto. qcmetrics: A Framework for Quality Control. doi:10.18129/B9.bioc.qcmetrics, R package version 1.50.0, https://bioconductor.org/packages/qcmetrics.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | qcmetrics_1.50.0.tar.gz |
| Windows binary (x86_64) | qcmetrics_1.50.0.zip |
| macOS binary (arm64) | qcmetrics_1.50.0.tgz |
| macOS binary (x86_64) | qcmetrics_1.50.0.tgz |
Dependencies
Depends: R (>= 3.3)
Imports: Biobase, methods, knitr, tools, xtable, pander, S4Vectors
Suggests: affy, MSnbase, ggplot2, lattice, mzR, BiocStyle, rmarkdown, markdown
Reverse dependencies
Imports Me (1): MSstatsQC