MSnbase is an R/Bioconductor package that provides infrastructure for plotting, manipulation and processing mass spectrometry and proteomics data. The project was started by Laurent Gatto in October 2010 (Mon Oct 4 23:35:23 2010, according to the git log) and has, since then, benefited from various contributions, in particular Sebastian Gibb and Johannes Rainer.
To get an overview of the package, see the MSnbase-demo vignette. More vignettes are available in the Articles tab.
To install MSnbase
If you need the github version (not recommended unless you know what you are doing), use
To cite the
MSnbase package in publications, please use:
Gatto L, Lilley KS.
MSnbase- an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation. Bioinformatics. 2012 Jan 15;28(2):288-9. doi:10.1093/bioinformatics/btr645. PubMed PMID:22113085.
MSnbase, efficient and elegant R-based processing and visualisation of raw mass spectrometry data. Laurent Gatto, Sebastian Gibb, Johannes Rainer. bioRxiv 2020.04.29.067868; doi: https://doi.org/10.1101/2020.04.29.067868
Contributions to the package are more than welcome. If you want to
contribute to this package, you should follow the same conventions as
the rest of the functions. Please do get in touch (preferable opening
a github issue) to
discuss any suggestions. The
MSnbase development vignette gives
some background on the class infrastructure.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
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