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

Laurent Gatto, Sebastian Gibb, Johannes Rainer

2020Journal of Proteome Research141 citationsDOIOpen Access PDF

Abstract

We present version 2 of the MSnbase R/Bioconductor package. MSnbase provides infrastructure for the manipulation, processing, and visualization 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 visualization.

Topics & Concepts

VisualizationBioconductorComputer scienceRaw dataMass spectrometryData visualizationData processingFocus (optics)Computer graphics (images)Data miningDatabaseChemistryProgramming languageChromatographyPhysicsGeneBiochemistryOpticsMetabolomics and Mass Spectrometry StudiesData Analysis with RBioinformatics and Genomic Networks