Abstract
Mass spectrometry imaging (MSI) can reveal biochemical information directly from a tissue section. MSI generates a large quantity of complex spectral data which is still challenging to translate into relevant biochemical information. Here, we present rMSIproc, an open-source R package that implements a full data processing workflow for MSI experiments performed using TOF or FT-based mass spectrometers. The package provides a novel strategy for spectral alignment and recalibration, which allows to process multiple datasets simultaneously. This enables to perform a confident statistical analysis with multiple datasets from one or several experiments. rMSIproc is designed to work with files larger than the computer memory capacity and the algorithms are implemented using a multi-threading strategy. rMSIproc is a powerful tool able to take full advantage of modern computer systems to completely develop the whole MSI potential. Contact: pere.rafols@urv.cat
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CITATION STYLE
Ràfols, P., Heijs, B., Del Castillo, E., Yanes, O., McDonnell, L. A., Brezmes, J., … Correig, X. (2020). RMSIproc: An R package for mass spectrometry imaging data processing. Bioinformatics, 36(11), 3618–3619. https://doi.org/10.1093/bioinformatics/btaa142
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