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      mzML—a Community Standard for Mass Spectrometry Data*

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          Abstract

          Mass spectrometry is a fundamental tool for discovery and analysis in the life sciences. With the rapid advances in mass spectrometry technology and methods, it has become imperative to provide a standard output format for mass spectrometry data that will facilitate data sharing and analysis. Initially, the efforts to develop a standard format for mass spectrometry data resulted in multiple formats, each designed with a different underlying philosophy. To resolve the issues associated with having multiple formats, vendors, researchers, and software developers convened under the banner of the HUPO PSI to develop a single standard. The new data format incorporated many of the desirable technical attributes from the previous data formats, while adding a number of improvements, including features such as a controlled vocabulary with validation tools to ensure consistent usage of the format, improved support for selected reaction monitoring data, and immediately available implementations to facilitate rapid adoption by the community. The resulting standard data format, mzML, is a well tested open-source format for mass spectrometer output files that can be readily utilized by the community and easily adapted for incremental advances in mass spectrometry technology.

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          Most cited references36

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          ProteoWizard: open source software for rapid proteomics tools development

          Summary: The ProteoWizard software project provides a modular and extensible set of open-source, cross-platform tools and libraries. The tools perform proteomics data analyses; the libraries enable rapid tool creation by providing a robust, pluggable development framework that simplifies and unifies data file access, and performs standard proteomics and LCMS dataset computations. The library contains readers and writers of the mzML data format, which has been written using modern C++ techniques and design principles and supports a variety of platforms with native compilers. The software has been specifically released under the Apache v2 license to ensure it can be used in both academic and commercial projects. In addition to the library, we also introduce a rapidly growing set of companion tools whose implementation helps to illustrate the simplicity of developing applications on top of the ProteoWizard library. Availability: Cross-platform software that compiles using native compilers (i.e. GCC on Linux, MSVC on Windows and XCode on OSX) is available for download free of charge, at http://proteowizard.sourceforge.net. This website also provides code examples, and documentation. It is our hope the ProteoWizard project will become a standard platform for proteomics development; consequently, code use, contribution and further development are strongly encouraged. Contact: darren@proteowizard.org; parag@ucla.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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            The PeptideAtlas project

            The completion of the sequencing of the human genome and the concurrent, rapid development of high-throughput proteomic methods have resulted in an increasing need for automated approaches to archive proteomic data in a repository that enables the exchange of data among researchers and also accurate integration with genomic data. PeptideAtlas () addresses these needs by identifying peptides by tandem mass spectrometry (MS/MS), statistically validating those identifications and then mapping identified sequences to the genomes of eukaryotic organisms. A meaningful comparison of data across different experiments generated by different groups using different types of instruments is enabled by the implementation of a uniform analytic process. This uniform statistical validation ensures a consistent and high-quality set of peptide and protein identifications. The raw data from many diverse proteomic experiments are made available in the associated PeptideAtlas repository in several formats. Here we present a summary of our process and details about the Human, Drosophila and Yeast PeptideAtlas builds.
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              A guided tour of the Trans-Proteomic Pipeline.

              The Trans-Proteomic Pipeline (TPP) is a suite of software tools for the analysis of MS/MS data sets. The tools encompass most of the steps in a proteomic data analysis workflow in a single, integrated software system. Specifically, the TPP supports all steps from spectrometer output file conversion to protein-level statistical validation, including quantification by stable isotope ratios. We describe here the full workflow of the TPP and the tools therein, along with an example on a sample data set, demonstrating that the setup and use of the tools are straightforward and well supported and do not require specialized informatic resources or knowledge.
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                Author and article information

                Journal
                Mol Cell Proteomics
                mcprot
                mcprot
                MCP
                Molecular & Cellular Proteomics : MCP
                The American Society for Biochemistry and Molecular Biology
                1535-9476
                1535-9484
                January 2011
                17 August 2010
                17 August 2010
                : 10
                : 1
                : R110.000133
                Affiliations
                [1]From the ‡Department of Medical Protein Research, VIB, B-9000 Ghent, Belgium
                [2]§Department of Biochemistry, Ghent University, B-9000 Ghent, Belgium
                [3]¶Vanderbilt University, Nashville, TN, 37232, USA
                [4]‖Eberhard Karls University, 72074, Tübingen, Germany
                [5]**University of Southern California, Los Angeles, CA, 90089, USA
                [6]‡‡Department of Immunotechnology and CREATE Health, Lund University, 22362, Lund, Sweden
                [7]§§Thermo Fisher Scientific, San Jose, CA, 95134, USA
                [8]¶¶Agilent Technologies, Santa Clara, CA, 95051, USA
                [9]‖‖Justus Liebig University, 35390 Giessen, Germany
                [10] a Leibniz Institute of Plant Biochemistry, 06120 Halle, Germany
                [11] b University of Pennsylvania, Philadelphia, PA, 19104, USA
                [12] c EMBL Outstation, European Bioinformatics Institute (EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB101SD, UK
                [13] d Insilicos LLC, Seattle, WA, 98109, USA
                [14] e Stowers Institute, Kansas City, MO, 64110, USA
                [15] f University of California, Los Angeles, Los Angeles, CA, 90095, USA
                [16] g Geneva Bioinformatics (GeneBio) SA, 1206 Geneva, Switzerland and Swiss Institute of Bioinformatics, Geneva, Switzerland
                [17] h Institute for Systems Biology, Seattle, WA, 98103, USA
                Author notes
                i To whom correspondence should be addressed: Institute for Systems Biology, 1441 N 34 th St, Seattle, WA 98103, E-mail: edeutsch@ 123456systemsbiology.org .

                Author contributions: E.W.D. is the chair, P.A.B. is the co-chair, and L.M. is the secretary of PSI-MS WG. All authors actively contributed to the creation and implementation of the standard format. All authors have agreed to all the content in the manuscript, including the data as presented.

                Article
                R110.000133
                10.1074/mcp.R110.000133
                3013463
                20716697
                6a4a9838-1b42-4756-b084-c1246fd68015
                © 2011 by The American Society for Biochemistry and Molecular Biology, Inc.

                Creative Commons Attribution Non-Commercial License applies to Author Choice Articles

                History
                : 29 April 2010
                : 26 July 2010
                Funding
                Funded by: National Institutes of Health
                Award ID: WT085949MA
                Categories
                Review

                Molecular biology
                Molecular biology

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