Document Type
Article
Publication Date
7-1-2017
Publication Title
Molecular & cellular proteomics : MCP
Keywords
Computational Biology; Databases, Protein; Proteomics; Software
Abstract
The 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
Department
Institute for Systems Biology
Recommended Citation
Vizcaíno, Juan Antonio; Mayer, Gerhard; Perkins, Simon; Barsnes, Harald; Vaudel, Marc; Perez-Riverol, Yasset; Ternent, Tobias; Uszkoreit, Julian; Eisenacher, Martin; Fischer, Lutz; Rappsilber, Juri; Netz, Eugen; Walzer, Mathias; Kohlbacher, Oliver; Leitner, Alexander; Chalkley, Robert J; Ghali, Fawaz; Martínez-Bartolomé, Salvador; Deutsch, Eric W; and Jones, Andrew R, "The mzIdentML Data Standard Version 1.2, Supporting Advances in Proteome Informatics." (2017). Articles, Abstracts, and Reports. 1372.
https://digitalcommons.providence.org/publications/1372
