Literature DB >> 21960719

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

Mathias Wilhelm1, Marc Kirchner, Judith A J Steen, Hanno Steen.   

Abstract

Across a host of MS-driven-omics fields, researchers witness the acquisition of ever increasing amounts of high throughput MS data and face the need for their compact yet efficiently accessible storage. Addressing the need for an open data exchange format, the Proteomics Standards Initiative and the Seattle Proteome Center at the Institute for Systems Biology independently developed the mzData and mzXML formats, respectively. In a subsequent joint effort, they defined an ontology and associated controlled vocabulary that specifies the contents of MS data files, implemented as the newer mzML format. All three formats are based on XML and are thus not particularly efficient in either storage space requirements or read/write speed. This contribution introduces mz5, a complete reimplementation of the mzML ontology that is based on the efficient, industrial strength storage backend HDF5. Compared with the current mzML standard, this strategy yields an average file size reduction to ∼54% and increases linear read and write speeds ∼3-4-fold. The format is implemented as part of the ProteoWizard project and is available under a permissive Apache license. Additional information and download links are available from http://software.steenlab.org/mz5.

Mesh:

Year:  2011        PMID: 21960719      PMCID: PMC3270111          DOI: 10.1074/mcp.O111.011379

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  15 in total

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Review 4.  PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows.

Authors:  Eric W Deutsch; Henry Lam; Ruedi Aebersold
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Journal:  Mol Cell Proteomics       Date:  2011-01-25       Impact factor: 5.911

6.  Unifying Biological Image Formats with HDF5.

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10.  PRIDE: new developments and new datasets.

Authors:  Philip Jones; Richard G Côté; Sang Yun Cho; Sebastian Klie; Lennart Martens; Antony F Quinn; David Thorneycroft; Henning Hermjakob
Journal:  Nucleic Acids Res       Date:  2007-11-22       Impact factor: 16.971

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3.  Ion mobility tandem mass spectrometry enhances performance of bottom-up proteomics.

Authors:  Dominic Helm; Johannes P C Vissers; Christopher J Hughes; Hannes Hahne; Benjamin Ruprecht; Fiona Pachl; Arkadiusz Grzyb; Keith Richardson; Jason Wildgoose; Stefan K Maier; Harald Marx; Mathias Wilhelm; Isabelle Becher; Simone Lemeer; Marcus Bantscheff; James I Langridge; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2014-08-08       Impact factor: 5.911

4.  Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.

Authors:  Robert Cunningham; Di Ma; Lingjun Li
Journal:  Front Biol (Beijing)       Date:  2012-08-01

5.  Employing ProteoWizard to Convert Raw Mass Spectrometry Data.

Authors:  Jerry D Holman; David L Tabb; Parag Mallick
Journal:  Curr Protoc Bioinformatics       Date:  2014-06-17

6.  HDX workbench: software for the analysis of H/D exchange MS data.

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7.  QuaMeter: multivendor performance metrics for LC-MS/MS proteomics instrumentation.

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Journal:  Anal Chem       Date:  2012-06-27       Impact factor: 6.986

8.  The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary.

Authors:  Gerhard Mayer; Luisa Montecchi-Palazzi; David Ovelleiro; Andrew R Jones; Pierre-Alain Binz; Eric W Deutsch; Matthew Chambers; Marius Kallhardt; Fredrik Levander; James Shofstahl; Sandra Orchard; Juan Antonio Vizcaíno; Henning Hermjakob; Christian Stephan; Helmut E Meyer; Martin Eisenacher
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Review 9.  Expanding the Use of Spectral Libraries in Proteomics.

Authors:  Eric W Deutsch; Yasset Perez-Riverol; Robert J Chalkley; Mathias Wilhelm; Stephen Tate; Timo Sachsenberg; Mathias Walzer; Lukas Käll; Bernard Delanghe; Sebastian Böcker; Emma L Schymanski; Paul Wilmes; Viktoria Dorfer; Bernhard Kuster; Pieter-Jan Volders; Nico Jehmlich; Johannes P C Vissers; Dennis W Wolan; Ana Y Wang; Luis Mendoza; Jim Shofstahl; Andrew W Dowsey; Johannes Griss; Reza M Salek; Steffen Neumann; Pierre-Alain Binz; Henry Lam; Juan Antonio Vizcaíno; Nuno Bandeira; Hannes Röst
Journal:  J Proteome Res       Date:  2018-10-11       Impact factor: 4.466

Review 10.  Data standards can boost metabolomics research, and if there is a will, there is a way.

Authors:  Philippe Rocca-Serra; Reza M Salek; Masanori Arita; Elon Correa; Saravanan Dayalan; Alejandra Gonzalez-Beltran; Tim Ebbels; Royston Goodacre; Janna Hastings; Kenneth Haug; Albert Koulman; Macha Nikolski; Matej Oresic; Susanna-Assunta Sansone; Daniel Schober; James Smith; Christoph Steinbeck; Mark R Viant; Steffen Neumann
Journal:  Metabolomics       Date:  2015-11-17       Impact factor: 4.290

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