Abstract | ||
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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. |
Year | DOI | Venue |
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2020 | 10.1093/bioinformatics/btaa142 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 36 | 11 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pere Ràfols | 1 | 0 | 0.68 |
Bram Heijs | 2 | 0 | 0.34 |
Esteban Del Castillo | 3 | 0 | 0.34 |
Oscar Yanes | 4 | 0 | 1.35 |
Liam A McDonnell | 5 | 0 | 0.34 |
Jesús Brezmes | 6 | 0 | 0.34 |
Iara Pérez-Taboada | 7 | 0 | 0.34 |
Mario Vallejo | 8 | 0 | 0.34 |
María García-Altares | 9 | 0 | 0.68 |
Xavier Correig | 10 | 4 | 1.60 |