The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results

被引:143
作者
Jones, Andrew R. [1 ]
Eisenacher, Martin [2 ]
Mayer, Gerhard [2 ]
Kohlbacher, Oliver [3 ,4 ]
Siepen, Jennifer [5 ]
Hubbard, Simon J. [5 ]
Selley, Julian N. [5 ]
Searle, Brian C. [6 ]
Shofstahl, James [7 ]
Seymour, Sean L. [8 ]
Julian, Randall [9 ]
Binz, Pierre-Alain [10 ]
Deutsch, Eric W. [11 ]
Hermjakob, Henning [12 ]
Reisinger, Florian [12 ]
Griss, Johannes [12 ]
Vizcaino, Juan Antonio [12 ]
Chambers, Matthew [13 ]
Pizarro, Angel [14 ]
Creasy, David [15 ]
机构
[1] Univ Liverpool, Inst Integrat Biol, Liverpool L69 7ZJ, Merseyside, England
[2] Ruhr Univ Bochum, Med Proteom Ctr, D-44801 Bochum, Germany
[3] Univ Tubingen, Ctr Bioinformat, Quantitat Biol Ctr, D-72076 Tubingen, Germany
[4] Univ Tubingen, Dept Comp Sci, D-72076 Tubingen, Germany
[5] Univ Manchester, Fac Life Sci, Manchester M13 9PT, Lancs, England
[6] Proteome Software Inc, Portland, OR 97219 USA
[7] Thermo Fisher Sci Inc, San Jose, CA 95134 USA
[8] AB SCIEX, Foster City, CA 94404 USA
[9] Indigo BioSyst, Indianapolis, IN 46240 USA
[10] Swiss Inst Bioinformat, CH-1211 Geneva 4, Switzerland
[11] Inst Syst Biol, Seattle, WA 98109 USA
[12] EMBL EBI, Cambridge CB10 1SD, England
[13] Vanderbilt Univ, Dept Biomed Infomat, Nashville, TN 37212 USA
[14] Univ Penn, Inst Translat Med & Therapeut, Philadelphia, PA 19104 USA
[15] Matrix Sci, London W1U 7GB, England
基金
英国惠康基金; 英国生物技术与生命科学研究理事会;
关键词
PROTEIN IDENTIFICATION DATA; ACCESS DATA COROLLARY; DATA QUALITY METRICS; OPEN-SOURCE SOFTWARE; IMPROVING SENSITIVITY; MINIMUM INFORMATION; COMMUNITY STANDARD; SEQUENCE DATABASES; NEXT-GENERATION; PEPTIDE;
D O I
10.1074/mcp.M111.014381
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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. Molecular & Cellular Proteomics 11: 10.1074/mcp. M111.014381, 1-10, 2012.
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页数:10
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