Literature DB >> 17185781

Proteomic data exchange and storage: the need for common standards and public repositories.

Sandra Orchard1, Philip Jones, Chris Taylor, Weimin Zhu, Randall K Julian, Henning Hermjakob, Rolf Apweiler.   

Abstract

The ever increasing volumes of proteomic data now being produced by laboratories across the world have resulted in major issues in data storage and accessibility. The further demands of multilaboratory initiatives has highlighted issues when collaborators cannot import data generated within the same project but generated by different hardware types and processed by laboratory-specific work flows and analyses packages. There is an increasing need for common data standards that will allow the interchange of data between different instrumentation, search engines, and between laboratory databases. This could then lead to the establishment of data repositories from where benchmark datasets could be accessed and reanalyzed. The Human Proteome Organization is currently supporting efforts to establish such standards. The work of the Proteomics Standards Initiative has lead to the development of the mzData XML interchange standard and is now broadening its scope to produce a spectral analysis output format, mzIdent. Accompanying controlled vocabularies allow the accurate, while systematic, representation of metadata throughout both schema.

Entities:  

Mesh:

Year:  2007        PMID: 17185781     DOI: 10.1385/1-59745-275-0:261

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  mzResults: an interactive viewer for interrogation and distribution of proteomics results.

Authors:  James T Webber; Manor Askenazi; Jarrod A Marto
Journal:  Mol Cell Proteomics       Date:  2011-01-25       Impact factor: 5.911

2.  Liquid Chromatography Mass Spectrometry-Based Proteomics: Biological and Technological Aspects.

Authors:  Yuliya V Karpievitch; Ashoka D Polpitiya; Gordon A Anderson; Richard D Smith; Alan R Dabney
Journal:  Ann Appl Stat       Date:  2010       Impact factor: 2.083

3.  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
Journal:  Database (Oxford)       Date:  2013-03-12       Impact factor: 3.451

4.  The effect of using an inappropriate protein database for proteomic data analysis.

Authors:  Giselle M Knudsen; Robert J Chalkley
Journal:  PLoS One       Date:  2011-06-14       Impact factor: 3.240

5.  DIPSBC--data integration platform for systems biology collaborations.

Authors:  Felix Dreher; Thomas Kreitler; Christopher Hardt; Atanas Kamburov; Reha Yildirimman; Karl Schellander; Hans Lehrach; Bodo M H Lange; Ralf Herwig
Journal:  BMC Bioinformatics       Date:  2012-05-08       Impact factor: 3.169

  5 in total

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