Literature DB >> 19834897

The PSI semantic validator: a framework to check MIAPE compliance of proteomics data.

Luisa Montecchi-Palazzi1, Samuel Kerrien, Florian Reisinger, Bruno Aranda, Andrew R Jones, Lennart Martens, Henning Hermjakob.   

Abstract

The Human Proteome Organization's Proteomics Standards Initiative (PSI) promotes the development of exchange standards to improve data integration and interoperability. PSI specifies the suitable level of detail required when reporting a proteomics experiment (via the Minimum Information About a Proteomics Experiment), and provides extensible markup language (XML) exchange formats and dedicated controlled vocabularies (CVs) that must be combined to generate a standard compliant document. The framework presented here tackles the issue of checking that experimental data reported using a specific format, CVs and public bio-ontologies (e.g. Gene Ontology, NCBI taxonomy) are compliant with the Minimum Information About a Proteomics Experiment recommendations. The semantic validator not only checks the XML syntax but it also enforces rules regarding the use of an ontology class or CV terms by checking that the terms exist in the resource and that they are used in the correct location of a document. Moreover, this framework is extremely fast, even on sizable data files, and flexible, as it can be adapted to any standard by customizing the parameters it requires: an XML Schema Definition, one or more CVs or ontologies, and a mapping file describing in a formal way how the semantic resources and the format are interrelated. As such, the validator provides a general solution to the common problem in data exchange: how to validate the correct usage of a data standard beyond simple XML Schema Definition validation. The framework source code and its various applications can be found at http://psidev.info/validator.

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Year:  2009        PMID: 19834897     DOI: 10.1002/pmic.200900189

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


  24 in total

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

Authors:  Frank Gibson; 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
Journal:  Proteomics       Date:  2010-09       Impact factor: 3.984

2.  The ProteoRed MIAPE web toolkit: a user-friendly framework to connect and share proteomics standards.

Authors:  J Alberto Medina-Aunon; Salvador Martínez-Bartolomé; Miguel A López-García; Emilio Salazar; Rosana Navajas; Andrew R Jones; Alberto Paradela; Juan P Albar
Journal:  Mol Cell Proteomics       Date:  2011-10       Impact factor: 5.911

3.  Protein interaction data curation: the International Molecular Exchange (IMEx) consortium.

Authors:  Sandra Orchard; Samuel Kerrien; Sara Abbani; Bruno Aranda; Jignesh Bhate; Shelby Bidwell; Alan Bridge; Leonardo Briganti; Fiona S L Brinkman; Fiona Brinkman; Gianni Cesareni; Andrew Chatr-aryamontri; Emilie Chautard; Carol Chen; Marine Dumousseau; Johannes Goll; Robert E W Hancock; Robert Hancock; Linda I Hannick; Igor Jurisica; Jyoti Khadake; David J Lynn; Usha Mahadevan; Livia Perfetto; Arathi Raghunath; Sylvie Ricard-Blum; Bernd Roechert; Lukasz Salwinski; Volker Stümpflen; Mike Tyers; Peter Uetz; Ioannis Xenarios; Henning Hermjakob
Journal:  Nat Methods       Date:  2012-04       Impact factor: 28.547

4.  IMEx Databases: Displaying Molecular Interactions into a Single, Standards-Compliant Dataset.

Authors:  Pablo Porras; Sandra Orchard; Luana Licata
Journal:  Methods Mol Biol       Date:  2022

5.  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

Review 6.  Controlled vocabularies and ontologies in proteomics: overview, principles and practice.

Authors:  Gerhard Mayer; Andrew R Jones; Pierre-Alain Binz; Eric W Deutsch; Sandra Orchard; Luisa Montecchi-Palazzi; Juan Antonio Vizcaíno; Henning Hermjakob; David Oveillero; Randall Julian; Christian Stephan; Helmut E Meyer; Martin Eisenacher
Journal:  Biochim Biophys Acta       Date:  2013-02-19

7.  The Biomolecular Interaction Network Database in PSI-MI 2.5.

Authors:  Ruth Isserlin; Rashad A El-Badrawi; Gary D Bader
Journal:  Database (Oxford)       Date:  2011-01-12       Impact factor: 3.451

8.  mzML--a community standard for mass spectrometry data.

Authors:  Lennart Martens; Matthew Chambers; Marc Sturm; Darren Kessner; Fredrik Levander; Jim Shofstahl; Wilfred H Tang; Andreas Römpp; Steffen Neumann; Angel D Pizarro; Luisa Montecchi-Palazzi; Natalie Tasman; Mike Coleman; Florian Reisinger; Puneet Souda; Henning Hermjakob; Pierre-Alain Binz; Eric W Deutsch
Journal:  Mol Cell Proteomics       Date:  2010-08-17       Impact factor: 5.911

9.  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

10.  The PRoteomics IDEntification (PRIDE) Converter 2 framework: an improved suite of tools to facilitate data submission to the PRIDE database and the ProteomeXchange consortium.

Authors:  Richard G Côté; Johannes Griss; José A Dianes; Rui Wang; James C Wright; Henk W P van den Toorn; Bas van Breukelen; Albert J R Heck; Niels Hulstaert; Lennart Martens; Florian Reisinger; Attila Csordas; David Ovelleiro; Yasset Perez-Rivevol; Harald Barsnes; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Mol Cell Proteomics       Date:  2012-09-04       Impact factor: 5.911

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