rMSIproc: an R package for mass spectrometry imaging data processing

Rafols, P.; Heijs, B.; Castillo, E. del; Yanes, O.; McDonnell, L.A.; Brezmes, J.; ... ; Correig, X. (2020)

Article / Letter to editor

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.

• All authors: Rafols, P.; Heijs, B.; Castillo, E. del; Yanes, O.; McDonnell, L.A.; Brezmes, J.; Perez-Taboada, I.; Vallejo, M.; Garcia-Altares, M.; Correig, X.
• Date: 2020-06-01
• Journal: Bioinformatics
• Volume: 36
• Issue: 11
• Pages: 3618 - 3619
• DOI: doi:10.1093/bioinformatics/btaa142
• Link: https://academic.oup.com/bioinformatics/article/36/11/3618/5766117