Literature DB >> 20677327

The gel electrophoresis markup language (GelML) from the Proteomics Standards Initiative.

Frank Gibson1, Christine Hoogland, Salvador Martinez-Bartolomé, J Alberto Medina-Aunon, Juan Pablo Albar, Gyorgy Babnigg, Anil Wipat, Henning Hermjakob, Jonas S Almeida, Romesh Stanislaus, Norman W Paton, Andrew R Jones.   

Abstract

The Human Proteome Organisation's Proteomics Standards Initiative has developed the GelML (gel electrophoresis markup language) data exchange format for representing gel electrophoresis experiments performed in proteomics investigations. The format closely follows the reporting guidelines for gel electrophoresis, which are part of the Minimum Information About a Proteomics Experiment (MIAPE) set of modules. GelML supports the capture of metadata (such as experimental protocols) and data (such as gel images) resulting from gel electrophoresis so that laboratories can be compliant with the MIAPE Gel Electrophoresis guidelines, while allowing such data sets to be exchanged or downloaded from public repositories. The format is sufficiently flexible to capture data from a broad range of experimental processes, and complements other PSI formats for MS data and the results of protein and peptide identifications to capture entire gel-based proteome workflows. GelML has resulted from the open standardisation process of PSI consisting of both public consultation and anonymous review of the specifications.

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Year:  2010        PMID: 20677327      PMCID: PMC3193076          DOI: 10.1002/pmic.201000120

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


  33 in total

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10.  Guidelines for reporting the use of gel electrophoresis in proteomics.

Authors:  Frank Gibson; Leigh Anderson; Gyorgy Babnigg; Mark Baker; Matthias Berth; Pierre-Alain Binz; Andy Borthwick; Phil Cash; Billy W Day; David B Friedman; Donita Garland; Howard B Gutstein; Christine Hoogland; Neil A Jones; Alamgir Khan; Joachim Klose; Angus I Lamond; Peter F Lemkin; Kathryn S Lilley; Jonathan Minden; Nicholas J Morris; Norman W Paton; Michael R Pisano; John E Prime; Thierry Rabilloud; David A Stead; Chris F Taylor; Hans Voshol; Anil Wipat; Andrew R Jones
Journal:  Nat Biotechnol       Date:  2008-08       Impact factor: 54.908

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Review 3.  Controlled vocabularies and ontologies in proteomics: overview, principles and practice.

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Review 5.  Development of data representation standards by the human proteome organization proteomics standards initiative.

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Review 8.  Open source libraries and frameworks for mass spectrometry based proteomics: a developer's perspective.

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  8 in total

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