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dc.contributor.authorVizcaíno, Juan Antonioen_US
dc.contributor.authorMayer, Gerharden_US
dc.contributor.authorPerkins, Simonen_US
dc.contributor.authorBarsnes, Haralden_US
dc.contributor.authorVaudel, Marcen_US
dc.contributor.authorPerez-Riverol, Yasseten_US
dc.contributor.authorTernent, Tobiasen_US
dc.contributor.authorUszkoreit, Julianen_US
dc.contributor.authorEisenacher, Martinen_US
dc.contributor.authorFischer, Lutzen_US
dc.contributor.authorRappsilber, Jurien_US
dc.contributor.authorNetza, Eugenen_US
dc.contributor.authorWalzer, Mathiasen_US
dc.contributor.authorKohlbacher, Oliveren_US
dc.contributor.authorLeitner, Alexanderen_US
dc.contributor.authorChalkley, Robert J.en_US
dc.contributor.authorGhali, Fawazen_US
dc.contributor.authorMartínez-Bartolomé, Salvadoren_US
dc.contributor.authorDeutsch, Eric W.en_US
dc.contributor.authorJones, Andrew R.en_US
dc.date.accessioned2020-04-05T10:06:17Z
dc.date.available2020-04-05T10:06:17Z
dc.date.issued2017-07-01
dc.PublishedVizcaíno JA, Mayer, Perkins, Barsnes H, Vaudel M, Perez-Riverol, Ternent, Uszkoreit J, Eisenacher M, Fischer L, Rappsilber J, Netza, Walzer, Kohlbacher O, Leitner, Chalkley, Ghali, Martínez-Bartolomé, Deutsch, Jones. The mzIdentML data standard version 1.2, supporting advances in proteome informatics. Molecular & Cellular Proteomics. 2017;16(7):1275-1285eng
dc.identifier.issn1535-9484
dc.identifier.issn1535-9476
dc.identifier.urihttps://hdl.handle.net/1956/21690
dc.description.abstractThe first stable version of the Proteomics Standards Initiative mzIdentML open data standard (version 1.1) was published in 2012—capturing the outputs of peptide and protein identification software. In the intervening years, the standard has become well-supported in both commercial and open software, as well as a submission and download format for public repositories. Here we report a new release of mzIdentML (version 1.2) that is required to keep pace with emerging practice in proteome informatics. New features have been added to support: (1) scores associated with localization of modifications on peptides; (2) statistics performed at the level of peptides; (3) identification of cross-linked peptides; and (4) support for proteogenomics approaches. In addition, there is now improved support for the encoding of de novo sequencing of peptides, spectral library searches, and protein inference. As a key point, the underlying XML schema has only undergone very minor modifications to simplify as much as possible the transition from version 1.1 to version 1.2 for implementers, but there have been several notable updates to the format specification, implementation guidelines, controlled vocabularies and validation software. mzIdentML 1.2 can be described as backwards compatible, in that reading software designed for mzIdentML 1.1 should function in most cases without adaptation. We anticipate that these developments will provide a continued stable base for software teams working to implement the standard. All the related documentation is accessible at http://www.psidev.info/mzidentml.en_US
dc.language.isoengeng
dc.publisherAmerican Society for Biochemistry and Molecular Biologyeng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0eng
dc.titleThe mzIdentML data standard version 1.2, supporting advances in proteome informaticsen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2019-11-11T13:36:04Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2017 by The American Society for Biochemistry and Molecular Biology, Inc.
dc.identifier.doihttps://doi.org/10.1074/mcp.m117.068429
dc.identifier.cristin1492288
dc.source.journalMolecular & Cellular Proteomics
dc.relation.projectBergens forskningsstiftelse: BFS2016REK02
dc.relation.projectNorges forskningsråd: 251235


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