Journal article Open Access

MSnbase, Efficient and Elegant R-Based Processing and Visualization of Raw Mass Spectrometry Data

Gatto, Laurent; Gibb, Sebastian; Rainer, Johannes


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  <dc:creator>Gatto, Laurent</dc:creator>
  <dc:creator>Gibb, Sebastian</dc:creator>
  <dc:creator>Rainer, Johannes</dc:creator>
  <dc:date>2020-09-09</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://zenodo.org/record/6466976</dc:identifier>
  <dc:identifier>10.1021/acs.jproteome.0c00313</dc:identifier>
  <dc:identifier>oai:zenodo.org:6466976</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:source>Journal of Proteome Research</dc:source>
  <dc:title>MSnbase, Efficient and Elegant R-Based Processing and Visualization of Raw Mass Spectrometry Data</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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