MSnbase, efficient and elegant R-based processing and visualisation of raw mass spectrometry data

Gatto, Laurent;Gibb, Sebastian;Rainer, Johannes
(2020) Journal of Proteome Research — (2020)

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  • Gibb, Sebastian
    Author
  • Rainer, Johannes
    Author
Abstract
We present version 2 of the MSnbase R/Bioconductor package. MSnbase provides infrastructure for the manipulation, processing and visualisation of mass spectrometry data. We focus on the new on-disk infrastructure, that allows the handling of large raw mass spectrometry experiments on commodity hardware and illustrate how the package is used for elegant data processing, method development and visualisation.
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Citations

Gatto, L., Gibb, S., & Rainer, J. (2020). MSnbase, efficient and elegant R-based processing and visualisation of raw mass spectrometry data. Journal of Proteome Research. Published. https://doi.org/10.1021/acs.jproteome.0c00313 (Original work published 2020)