Journal
JOURNAL OF PROTEOME RESEARCH
Volume 20, Issue 1, Pages 1063-1069Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.0c00313
Keywords
R; Bioconductor; mass spectrometry; software; metabolomics; proteomics; visualization; reproducible research
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Version 2 of the MSnbase R/Bioconductor package is focused on new on-disk infrastructure for manipulating, processing, and visualizing mass spectrometry data. This update allows handling of large raw mass spectrometry experiments on commodity hardware, showcasing elegant data processing, method development, and visualization capabilities.
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.
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