The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results

We report the release of mzIdentML, an exchange standard for peptide and protein identification data, designed by the Proteomics Standards Initiative. The format was developed by the Proteomics Standards Initiative in collaboration with instrument and software vendors, and the developers of the majo...

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Main Authors:	Jones, Andrew R., Eisenacher, Martin, Mayer, Gerhard, Kohlbacher, Oliver, Siepen, Jennifer, Hubbard, Simon J., Selley, Julian N., Searle, Brian C., Shofstahl, James, Seymour, Sean L., Julian, Randall, Binz, Pierre-Alain, Deutsch, Eric W., Hermjakob, Henning, Reisinger, Florian, Griss, Johannes, Vizcaíno, Juan Antonio, Chambers, Matthew, Pizarro, Angel, Creasy, David
Format:	Online
Language:	English
Published:	The American Society for Biochemistry and Molecular Biology 2012
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394945/

id	pubmed-3394945
recordtype	oai_dc
spelling	pubmed-33949452013-01-12 The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results Jones, Andrew R. Eisenacher, Martin Mayer, Gerhard Kohlbacher, Oliver Siepen, Jennifer Hubbard, Simon J. Selley, Julian N. Searle, Brian C. Shofstahl, James Seymour, Sean L. Julian, Randall Binz, Pierre-Alain Deutsch, Eric W. Hermjakob, Henning Reisinger, Florian Griss, Johannes Vizcaíno, Juan Antonio Chambers, Matthew Pizarro, Angel Creasy, David Technological Innovation Resources We report the release of mzIdentML, an exchange standard for peptide and protein identification data, designed by the Proteomics Standards Initiative. The format was developed by the Proteomics Standards Initiative in collaboration with instrument and software vendors, and the developers of the major open-source projects in proteomics. Software implementations have been developed to enable conversion from most popular proprietary and open-source formats, and mzIdentML will soon be supported by the major public repositories. These developments enable proteomics scientists to start working with the standard for exchanging and publishing data sets in support of publications and they provide a stable platform for bioinformatics groups and commercial software vendors to work with a single file format for identification data. The American Society for Biochemistry and Molecular Biology 2012-07 2012-02-27 /pmc/articles/PMC3394945/ /pubmed/22375074 http://dx.doi.org/10.1074/mcp.M111.014381 Text en © 2012 by The American Society for Biochemistry and Molecular Biology, Inc. Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) applies to Author Choice Articles
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Jones, Andrew R. Eisenacher, Martin Mayer, Gerhard Kohlbacher, Oliver Siepen, Jennifer Hubbard, Simon J. Selley, Julian N. Searle, Brian C. Shofstahl, James Seymour, Sean L. Julian, Randall Binz, Pierre-Alain Deutsch, Eric W. Hermjakob, Henning Reisinger, Florian Griss, Johannes Vizcaíno, Juan Antonio Chambers, Matthew Pizarro, Angel Creasy, David
spellingShingle	Jones, Andrew R. Eisenacher, Martin Mayer, Gerhard Kohlbacher, Oliver Siepen, Jennifer Hubbard, Simon J. Selley, Julian N. Searle, Brian C. Shofstahl, James Seymour, Sean L. Julian, Randall Binz, Pierre-Alain Deutsch, Eric W. Hermjakob, Henning Reisinger, Florian Griss, Johannes Vizcaíno, Juan Antonio Chambers, Matthew Pizarro, Angel Creasy, David The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results
author_facet	Jones, Andrew R. Eisenacher, Martin Mayer, Gerhard Kohlbacher, Oliver Siepen, Jennifer Hubbard, Simon J. Selley, Julian N. Searle, Brian C. Shofstahl, James Seymour, Sean L. Julian, Randall Binz, Pierre-Alain Deutsch, Eric W. Hermjakob, Henning Reisinger, Florian Griss, Johannes Vizcaíno, Juan Antonio Chambers, Matthew Pizarro, Angel Creasy, David
author_sort	Jones, Andrew R.
title	The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results
title_short	The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results
title_full	The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results
title_fullStr	The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results
title_full_unstemmed	The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results
title_sort	mzidentml data standard for mass spectrometry-based proteomics results
description	We report the release of mzIdentML, an exchange standard for peptide and protein identification data, designed by the Proteomics Standards Initiative. The format was developed by the Proteomics Standards Initiative in collaboration with instrument and software vendors, and the developers of the major open-source projects in proteomics. Software implementations have been developed to enable conversion from most popular proprietary and open-source formats, and mzIdentML will soon be supported by the major public repositories. These developments enable proteomics scientists to start working with the standard for exchanging and publishing data sets in support of publications and they provide a stable platform for bioinformatics groups and commercial software vendors to work with a single file format for identification data.
publisher	The American Society for Biochemistry and Molecular Biology
publishDate	2012
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394945/
_version_	1611542527804964864

The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results

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