Literature DB >> 15529173

A common open representation of mass spectrometry data and its application to proteomics research.

Patrick G A Pedrioli1, Jimmy K Eng, Robert Hubley, Mathijs Vogelzang, Eric W Deutsch, Brian Raught, Brian Pratt, Erik Nilsson, Ruth H Angeletti, Rolf Apweiler, Kei Cheung, Catherine E Costello, Henning Hermjakob, Sequin Huang, Randall K Julian, Eugene Kapp, Mark E McComb, Stephen G Oliver, Gilbert Omenn, Norman W Paton, Richard Simpson, Richard Smith, Chris F Taylor, Weimin Zhu, Ruedi Aebersold.   

Abstract

A broad range of mass spectrometers are used in mass spectrometry (MS)-based proteomics research. Each type of instrument possesses a unique design, data system and performance specifications, resulting in strengths and weaknesses for different types of experiments. Unfortunately, the native binary data formats produced by each type of mass spectrometer also differ and are usually proprietary. The diverse, nontransparent nature of the data structure complicates the integration of new instruments into preexisting infrastructure, impedes the analysis, exchange, comparison and publication of results from different experiments and laboratories, and prevents the bioinformatics community from accessing data sets required for software development. Here, we introduce the 'mzXML' format, an open, generic XML (extensible markup language) representation of MS data. We have also developed an accompanying suite of supporting programs. We expect that this format will facilitate data management, interpretation and dissemination in proteomics research.

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Year:  2004        PMID: 15529173     DOI: 10.1038/nbt1031

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  265 in total

1.  Quantitative peptidomics study reveals that a wound-induced peptide from PR-1 regulates immune signaling in tomato.

Authors:  Ying-Lan Chen; Chi-Ying Lee; Kai-Tan Cheng; Wei-Hung Chang; Rong-Nan Huang; Hong Gil Nam; Yet-Ran Chen
Journal:  Plant Cell       Date:  2014-10-31       Impact factor: 11.277

2.  Catalytic mechanism of Sep-tRNA:Cys-tRNA synthase: sulfur transfer is mediated by disulfide and persulfide.

Authors:  Yuchen Liu; Patricia C Dos Santos; Xiang Zhu; Ron Orlando; Dennis R Dean; Dieter Söll; Jing Yuan
Journal:  J Biol Chem       Date:  2011-12-13       Impact factor: 5.157

3.  msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.

Authors:  Berend Hoekman; Rainer Breitling; Frank Suits; Rainer Bischoff; Peter Horvatovich
Journal:  Mol Cell Proteomics       Date:  2012-02-07       Impact factor: 5.911

4.  Scientific workflow management in proteomics.

Authors:  Jeroen S de Bruin; André M Deelder; Magnus Palmblad
Journal:  Mol Cell Proteomics       Date:  2012-03-12       Impact factor: 5.911

5.  mz5: space- and time-efficient storage of mass spectrometry data sets.

Authors:  Mathias Wilhelm; Marc Kirchner; Judith A J Steen; Hanno Steen
Journal:  Mol Cell Proteomics       Date:  2011-09-29       Impact factor: 5.911

6.  Supporting tool suite for production proteomics.

Authors:  Ze-Qiang Ma; David L Tabb; Joseph Burden; Matthew C Chambers; Matthew B Cox; Michael J Cantrell; Amy-Joan L Ham; Michael D Litton; Michael R Oreto; William C Schultz; Scott M Sobecki; Tina Y Tsui; Gregory R Wernke; Daniel C Liebler
Journal:  Bioinformatics       Date:  2011-09-29       Impact factor: 6.937

7.  Increased power for the analysis of label-free LC-MS/MS proteomics data by combining spectral counts and peptide peak attributes.

Authors:  Lee Dicker; Xihong Lin; Alexander R Ivanov
Journal:  Mol Cell Proteomics       Date:  2010-09-07       Impact factor: 5.911

8.  An efficient data format for mass spectrometry-based proteomics.

Authors:  Anuj R Shah; Jennifer Davidson; Matthew E Monroe; Anoop M Mayampurath; William F Danielson; Yan Shi; Aaron C Robinson; Brian H Clowers; Mikhail E Belov; Gordon A Anderson; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2010-07-07       Impact factor: 3.109

9.  Proteins associated with the Myxococcus xanthus extracellular matrix.

Authors:  Patrick D Curtis; James Atwood; Ron Orlando; Lawrence J Shimkets
Journal:  J Bacteriol       Date:  2007-08-31       Impact factor: 3.490

10.  The standard protein mix database: a diverse data set to assist in the production of improved Peptide and protein identification software tools.

Authors:  John Klimek; James S Eddes; Laura Hohmann; Jennifer Jackson; Amelia Peterson; Simon Letarte; Philip R Gafken; Jonathan E Katz; Parag Mallick; Hookeun Lee; Alexander Schmidt; Reto Ossola; Jimmy K Eng; Ruedi Aebersold; Daniel B Martin
Journal:  J Proteome Res       Date:  2007-08-21       Impact factor: 4.466

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