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dc.contributor.authorMarissen, Rob
dc.contributor.authorVarunjikar, Madhushri Shrikant
dc.contributor.authorLaros, Jeroen F. J.
dc.contributor.authorRasinger, Josef
dc.contributor.authorNeely, Benjamin A.
dc.contributor.authorPalmblad, Magnus
dc.date.accessioned2023-02-07T12:10:11Z
dc.date.available2023-02-07T12:10:11Z
dc.date.created2022-10-20T12:42:34Z
dc.date.issued2022
dc.identifier.citationJournal of Proteome Research. 2022, .en_US
dc.identifier.issn1535-3893
dc.identifier.urihttps://hdl.handle.net/11250/3048875
dc.description.abstractIt 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.en_US
dc.language.isoengen_US
dc.titleCompareMS2 2.0: An Improved Software for Comparing Tandem Mass Spectrometry Datasetsen_US
dc.title.alternativeCompareMS2 2.0: An Improved Software for Comparing Tandem Mass Spectrometry Datasetsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber6en_US
dc.source.journalJournal of Proteome Researchen_US
dc.identifier.doi10.1021/acs.jproteome.2c00457
dc.identifier.cristin2063226
dc.relation.projectNorges forskningsråd: 324374en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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