Literature DB >> 14760721

Common interchange standards for proteomics data: Public availability of tools and schema.

Sandra Orchard1, Henning Hermjakob, Randall K Julian, Kai Runte, David Sherman, Jérôme Wojcik, Weimin Zhu, Rolf Apweiler.   

Abstract

The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics and to facilitate data comparision, exchange and verification. To this end, a Level 1 Molecular Interaction XML data exchange format has been developed which has been accepted for publication and is freely available at the PSI website (http.//psidev.sf.net/). Several major protein interaction databases are already making data available in this format. A draft XML interchange format for mass spectrometry data has been written and is currently undergoing evaluation whilst work is ongoing to develop a proteomics data integration model, MIAPE.

Mesh:

Year:  2004        PMID: 14760721     DOI: 10.1002/pmic.200300694

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


  26 in total

1.  Toward supportive data collection tools for plant metabolomics.

Authors:  Helen Jenkins; Helen Johnson; Baldeep Kular; Trevor Wang; Nigel Hardy
Journal:  Plant Physiol       Date:  2005-05       Impact factor: 8.340

Review 2.  The HUPO Brain Proteome Project--no need to hurry?

Authors:  M Hamacher; K Marcus; A van Hall; H E Meyer; C Stephan
Journal:  J Neural Transm (Vienna)       Date:  2006-07-13       Impact factor: 3.575

Review 3.  Validation and quality control of protein microarray-based analytical methods.

Authors:  Larry J Kricka; Stephen R Master
Journal:  Mol Biotechnol       Date:  2007-08-03       Impact factor: 2.695

Review 4.  Using metabolomics to estimate unintended effects in transgenic crop plants: problems, promises, and opportunities.

Authors:  Owen A Hoekenga
Journal:  J Biomol Tech       Date:  2008-07

5.  The collaboratory for MS3D: a new cyberinfrastructure for the structural elucidation of biological macromolecules and their assemblies using mass spectrometry-based approaches.

Authors:  Eizadora T Yu; Arie Hawkins; Irwin D Kuntz; Larry A Rahn; Andrew Rothfuss; Kenneth Sale; Malin M Young; Christine L Yang; Carmen M Pancerella; Daniele Fabris
Journal:  J Proteome Res       Date:  2008-09-26       Impact factor: 4.466

Review 6.  Data integration for dynamic and sustainable systems biology resources: challenges and lessons learned.

Authors:  Daniel E Sullivan; Joseph L Gabbard; Maulik Shukla; Bruno Sobral
Journal:  Chem Biodivers       Date:  2010-05       Impact factor: 2.408

7.  Interlaboratory studies and initiatives developing standards for proteomics.

Authors:  Alexander R Ivanov; Christopher M Colangelo; Craig P Dufresne; David B Friedman; Kathryn S Lilley; Karl Mechtler; Brett S Phinney; Kristie L Rose; Paul A Rudnick; Brian C Searle; Scott A Shaffer; Susan T Weintraub
Journal:  Proteomics       Date:  2013-02-19       Impact factor: 3.984

Review 8.  The plasma proteome, adductome and idiosyncratic toxicity in toxicoproteomics research.

Authors:  B Alex Merrick
Journal:  Brief Funct Genomic Proteomic       Date:  2008-02-12

Review 9.  Proteomics and opportunities for clinical translation in urological disease.

Authors:  Ali R Vaezzadeh; Hanno Steen; Michael R Freeman; Richard S Lee
Journal:  J Urol       Date:  2009-07-17       Impact factor: 7.450

10.  Efficient analysis and extraction of MS/MS result data from Mascot result files.

Authors:  Florian Grosse-Coosmann; Andreas M Boehm; Albert Sickmann
Journal:  BMC Bioinformatics       Date:  2005-12-07       Impact factor: 3.169

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