Literature DB >> 18592187

The PRIDE proteomics identifications database: data submission, query, and dataset comparison.

Philip Jones1, Richard Côté.   

Abstract

The PRIDE database has been developed to allow the proteomics community to share publicly, or within private collaborations, the vast volume of data generated by proteomics laboratories across the globe. These data are being generated at an expanding rate as increasingly sophisticated technologies become available. Compounding this problem, the infrastructure and techniques used to generate these data vary in terms of the instrumentation used, the protein sequence databases searched, the search engines employed, and the automatic or manual filtering of identifications following the initial automated search. The PRIDE project provides an infrastructure to solve these problems, including a generic, standards-based format that can be annotated to capture data generated using any proteomics pipeline, a protein accession mapping service to overcome the problem of disparate protein sequence databases being searched, and tools for query, comparison, and analysis of proteomics data. This chapter describes the main practical considerations in making use of PRIDE, including the available resources: the PRIDE database, the Ontology Lookup Service (OLS), the protein identifier cross-referencing service (PICR), the Proteome Harvest PRIDE submission spreadsheet, and the PRIDE BioMart.PRIDE can be accessed at http://www.ebi.ac.uk/pride.

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Year:  2008        PMID: 18592187     DOI: 10.1007/978-1-59745-398-1_19

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


  11 in total

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Review 2.  Integrating omics technologies to study pulmonary physiology and pathology at the systems level.

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Journal:  Cell Physiol Biochem       Date:  2014-04-28

Review 3.  Proteomics data repositories: providing a safe haven for your data and acting as a springboard for further research.

Authors:  Juan Antonio Vizcaíno; Joseph M Foster; Lennart Martens
Journal:  J Proteomics       Date:  2010-07-06       Impact factor: 4.044

4.  A guide to the Proteomics Identifications Database proteomics data repository.

Authors:  Juan Antonio Vizcaíno; Richard Côté; Florian Reisinger; Joseph M Foster; Michael Mueller; Jonathan Rameseder; Henning Hermjakob; Lennart Martens
Journal:  Proteomics       Date:  2009-09       Impact factor: 3.984

5.  Systematic integration of experimental data and models in systems biology.

Authors:  Peter Li; Joseph O Dada; Daniel Jameson; Irena Spasic; Neil Swainston; Kathleen Carroll; Warwick Dunn; Farid Khan; Naglis Malys; Hanan L Messiha; Evangelos Simeonidis; Dieter Weichart; Catherine Winder; Jill Wishart; David S Broomhead; Carole A Goble; Simon J Gaskell; Douglas B Kell; Hans V Westerhoff; Pedro Mendes; Norman W Paton
Journal:  BMC Bioinformatics       Date:  2010-11-29       Impact factor: 3.169

6.  Proteomic profiling of Serratia marcescens by high-resolution mass spectrometry.

Authors:  Bhavya Somalapura Gangadharappa; Sharath Rajashekarappa; Gajanan Sathe
Journal:  Bioimpacts       Date:  2020-03-26

7.  The Proteomics Identifications database: 2010 update.

Authors:  Juan Antonio Vizcaíno; Richard Côté; Florian Reisinger; Harald Barsnes; Joseph M Foster; Jonathan Rameseder; Henning Hermjakob; Lennart Martens
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

8.  OntoMaton: a bioportal powered ontology widget for Google Spreadsheets.

Authors:  Eamonn Maguire; Alejandra González-Beltrán; Patricia L Whetzel; Susanna-Assunta Sansone; Philippe Rocca-Serra
Journal:  Bioinformatics       Date:  2012-12-24       Impact factor: 6.937

9.  Systems biology, bioinformatics, and biomarkers in neuropsychiatry.

Authors:  Ali Alawieh; Fadi A Zaraket; Jian-Liang Li; Stefania Mondello; Amaly Nokkari; Mahdi Razafsha; Bilal Fadlallah; Rose-Mary Boustany; Firas H Kobeissy
Journal:  Front Neurosci       Date:  2012-12-24       Impact factor: 4.677

Review 10.  Databases and tools for constructing signal transduction networks in cancer.

Authors:  Seungyoon Nam
Journal:  BMB Rep       Date:  2017-01       Impact factor: 4.778

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