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

被引:0
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作者
Patrick G A Pedrioli
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
机构
[1] Institute for Systems Biology,Department of Anesthesiology
[2] Insilicos LLC,Department of Computer Science
[3] Albert Einstein College of Medicine,Biological Sciences Division and Environmental Molecular Sciences Laboratory
[4] LMAP Room 405,undefined
[5] Ullman Bldg.,undefined
[6] EMBL Outstation European Bioinformatics Institute,undefined
[7] Wellcome Trust Genome Campus,undefined
[8] Center for Medical Informatics,undefined
[9] Yale University School of Medicine,undefined
[10] PO Box 208009,undefined
[11] Boston University School of Medicine,undefined
[12] Lilly Research Laboratories,undefined
[13] One Lilly Corporate Center,undefined
[14] Joint Proteomics Laboratory,undefined
[15] Ludwig Institute For Cancer Research & The Walter and Eliza Hall Institute of Medical Research,undefined
[16] Royal Melbourne Hospital,undefined
[17] School of Biological Sciences,undefined
[18] University of Manchester,undefined
[19] The Michael Smith Building,undefined
[20] The University of Michigan Medical School,undefined
[21] University of Manchester,undefined
[22] Pacific Northwest National Laboratory,undefined
[23] PO Box 999,undefined
来源
Nature Biotechnology | 2004年 / 22卷
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摘要
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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页码:1459 / 1466
页数:7
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