Literature DB >> 16041671

PRIDE: the proteomics identifications database.

Lennart Martens1, Henning Hermjakob, Philip Jones, Marcin Adamski, Chris Taylor, David States, Kris Gevaert, Joël Vandekerckhove, Rolf Apweiler.   

Abstract

The advent of high-throughput proteomics has enabled the identification of ever increasing numbers of proteins. Correspondingly, the number of publications centered on these protein identifications has increased dramatically. With the first results of the HUPO Plasma Proteome Project being analyzed and many other large-scale proteomics projects about to disseminate their data, this trend is not likely to flatten out any time soon. However, the publication mechanism of these identified proteins has lagged behind in technical terms. Often very long lists of identifications are either published directly with the article, resulting in both a voluminous and rather tedious read, or are included on the publisher's website as supplementary information. In either case, these lists are typically only provided as portable document format documents with a custom-made layout, making it practically impossible for computer programs to interpret them, let alone efficiently query them. Here we propose the proteomics identifications (PRIDE) database (http://www.ebi.ac.uk/pride) as a means to finally turn publicly available data into publicly accessible data. PRIDE offers a web-based query interface, a user-friendly data upload facility, and a documented application programming interface for direct computational access. The complete PRIDE database, source code, data, and support tools are freely available for web access or download and local installation.

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Year:  2005        PMID: 16041671     DOI: 10.1002/pmic.200401303

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


  184 in total

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4.  A proteogenomics approach integrating proteomics and ribosome profiling increases the efficiency of protein identification and enables the discovery of alternative translation start sites.

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7.  Research on the Human Proteome Reaches a Major Milestone: >90% of Predicted Human Proteins Now Credibly Detected, According to the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Ileana M Cristea; Fernando J Corrales; Cecilia Lindskog; Young-Ki Paik; Jennifer E Van Eyk; Siqi Liu; Stephen R Pennington; Michael P Snyder; Mark S Baker; Nuno Bandeira; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2020-10-19       Impact factor: 4.466

8.  The PeptideAtlas Project.

Authors:  Eric W Deutsch
Journal:  Methods Mol Biol       Date:  2010

9.  Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research.

Authors:  D de la Iglesia; R E Cachau; M García-Remesal; V Maojo
Journal:  Comput Sci Discov       Date:  2013-11-27

10.  Using PeptideAtlas, SRMAtlas, and PASSEL: Comprehensive Resources for Discovery and Targeted Proteomics.

Authors:  Ulrike Kusebauch; Eric W Deutsch; David S Campbell; Zhi Sun; Terry Farrah; Robert L Moritz
Journal:  Curr Protoc Bioinformatics       Date:  2014-06-17
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