Literature DB >> 24108681

Preparing to work with big data in proteomics - a report on the HUPO-PSI Spring Workshop: April 15-17, 2013, Liverpool, UK.

Sandra Orchard1, Pierre-Alain Binz, Andrew R Jones, Juan Antonio Vizcaino, Eric W Deutsch, Henning Hermjakob.   

Abstract

The Human Proteome Organisation Proteomics Standards Initiative (HUPO-PSI) was established in 2002 with the aim of defining community standards for data representation in proteomics and facilitating data comparison, exchange and verification. The 2013 annual spring workshop was hosted by the University of Liverpool, UK and concentrated on updating and refining the existing standards in the light of new methodologies and technologies. To control the inflation of file sizes, strategies for file compression, particularly for mzML files, were explored. Best practices for encoding information such as protein grouping and PTM localisation were refined and documented. Additional example files for the mzQuantML format were designed to provide support for selected reaction monitoring techniques. Enhancements to the PSI Common Query Interface (PSICQUIC) and PSI-MI XML were discussed. Finally, the group engaged in discussion on how the existing work of the HUPO-PSI can be leveraged by the Metabolomics Standards Initiative to improve the capture of metabolite data.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Best practice; File compression; HUPO; Proteomics Standardization Initiative; Selected reaction monitoring

Mesh:

Substances:

Year:  2013        PMID: 24108681     DOI: 10.1002/pmic.201370166

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

1.  Teaching 'big data' analysis to young immunologists.

Authors:  Joachim L Schultze
Journal:  Nat Immunol       Date:  2015-09       Impact factor: 25.606

Review 2.  Big data in medicine is driving big changes.

Authors:  F Martin-Sanchez; K Verspoor
Journal:  Yearb Med Inform       Date:  2014-08-15

Review 3.  Development of data representation standards by the human proteome organization proteomics standards initiative.

Authors:  Eric W Deutsch; Juan Pablo Albar; Pierre-Alain Binz; Martin Eisenacher; Andrew R Jones; Gerhard Mayer; Gilbert S Omenn; Sandra Orchard; Juan Antonio Vizcaíno; Henning Hermjakob
Journal:  J Am Med Inform Assoc       Date:  2015-02-28       Impact factor: 4.497

4.  A standardized framing for reporting protein identifications in mzIdentML 1.2.

Authors:  Sean L Seymour; Terry Farrah; Pierre-Alain Binz; Robert J Chalkley; John S Cottrell; Brian C Searle; David L Tabb; Juan Antonio Vizcaíno; Gorka Prieto; Julian Uszkoreit; Martin Eisenacher; Salvador Martínez-Bartolomé; Fawaz Ghali; Andrew R Jones
Journal:  Proteomics       Date:  2014-09-23       Impact factor: 3.984

5.  mzDB: a file format using multiple indexing strategies for the efficient analysis of large LC-MS/MS and SWATH-MS data sets.

Authors:  David Bouyssié; Marc Dubois; Sara Nasso; Anne Gonzalez de Peredo; Odile Burlet-Schiltz; Ruedi Aebersold; Bernard Monsarrat
Journal:  Mol Cell Proteomics       Date:  2014-12-11       Impact factor: 5.911

  5 in total

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