compareMS2 2.0: An Improved Software for Comparing Tandem Mass Spectrometry Datasets.

compareMS2 distance metric molecular phylogenetics quality control tandem mass spectrometry

Journal

Journal of proteome research
ISSN: 1535-3907
Titre abrégé: J Proteome Res
Pays: United States
ID NLM: 101128775

Informations de publication

Date de publication:
03 02 2023
Historique:
pubmed: 30 9 2022
medline: 7 2 2023
entrez: 29 9 2022
Statut: ppublish

Résumé

It has long been known that biological species can be identified from mass spectrometry data alone. Ten years ago, we described a method and software tool, compareMS2, for calculating a distance between sets of tandem mass spectra, as routinely collected in proteomics. This method has seen use in species identification and mixture characterization in food and feed products, as well as other applications. Here, we present the first major update of this software, including a new metric, a graphical user interface and additional functionality. The data have been deposited to ProteomeXchange with dataset identifier PXD034932.

Identifiants

pubmed: 36173614
doi: 10.1021/acs.jproteome.2c00457
pmc: PMC9903320
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

514-519

Références

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Auteurs

Rob Marissen (R)

Center for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.

Madhushri S Varunjikar (MS)

Institute of Marine Research, P.O. Box 1870 Nordnes, 5817 Bergen, Norway.

Jeroen F J Laros (JFJ)

National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands.
Department of Human Genetics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.

Josef D Rasinger (JD)

Institute of Marine Research, P.O. Box 1870 Nordnes, 5817 Bergen, Norway.

Benjamin A Neely (BA)

National Institute of Standards and Technology, Charleston, South Carolina 29412, United States.

Magnus Palmblad (M)

Center for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.

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Classifications MeSH