Literature DB >> 21063943

PRIDE and "Database on Demand" as valuable tools for computational proteomics.

Juan Antonio Vizcaíno1, Florian Reisinger, Richard Côté, Lennart Martens.   

Abstract

The Proteomics Identifications Database (PRIDE, http://www.ebi.ac.uk/pride ) provides users with the ability to explore and compare mass spectrometry-based proteomics experiments that reveal details of the protein expression found in a broad range of taxonomic groups, tissues, and disease states. A PRIDE experiment typically includes identifications of proteins, peptides, and protein modifications. Additionally, many of the submitted experiments also include the mass spectra that provide the evidence for these identifications. Finally, one of the strongest advantages of PRIDE in comparison with other proteomics repositories is the amount of metadata it contains, a key point to put the above-mentioned data in biological and/or technical context. Several informatics tools have been developed in support of the PRIDE database. The most recent one is called "Database on Demand" (DoD), which allows custom sequence databases to be built in order to optimize the results from search engines. We describe the use of DoD in this chapter. Additionally, in order to show the potential of PRIDE as a source for data mining, we also explore complex queries using federated BioMart queries to integrate PRIDE data with other resources, such as Ensembl, Reactome, or UniProt.

Mesh:

Year:  2011        PMID: 21063943     DOI: 10.1007/978-1-60761-987-1_6

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


  5 in total

1.  Reactome pathway analysis to enrich biological discovery in proteomics data sets.

Authors:  Robin Haw; Henning Hermjakob; Peter D'Eustachio; Lincoln Stein
Journal:  Proteomics       Date:  2011-09       Impact factor: 3.984

2.  Ensembl BioMarts: a hub for data retrieval across taxonomic space.

Authors:  Rhoda J Kinsella; Andreas Kähäri; Syed Haider; Jorge Zamora; Glenn Proctor; Giulietta Spudich; Jeff Almeida-King; Daniel Staines; Paul Derwent; Arnaud Kerhornou; Paul Kersey; Paul Flicek
Journal:  Database (Oxford)       Date:  2011-07-23       Impact factor: 3.451

3.  Data mining using the Catalogue of Somatic Mutations in Cancer BioMart.

Authors:  Rebecca Shepherd; Simon A Forbes; David Beare; S Bamford; Charlotte G Cole; Sari Ward; Nidhi Bindal; Prasad Gunasekaran; Mingming Jia; Chai Yin Kok; Kenric Leung; Andrew Menzies; Adam P Butler; Jon W Teague; Peter J Campbell; Michael R Stratton; P Andrew Futreal
Journal:  Database (Oxford)       Date:  2011-05-23       Impact factor: 3.451

4.  Fit-for-purpose curated database application in mass spectrometry-based targeted protein identification and validation.

Authors:  Keding Cheng; Angela Sloan; Stuart McCorrister; Shawn Babiuk; Timothy R Bowden; Gehua Wang; J David Knox
Journal:  BMC Res Notes       Date:  2014-07-10

5.  Expression profiling of long noncoding RNA identifies lnc-MMP3-1 as a prognostic biomarker in external auditory canal squamous cell carcinoma.

Authors:  Hong Liu; Chunfu Dai; Qianru Wu; Hongyan Liu; Feitian Li
Journal:  Cancer Med       Date:  2017-09-29       Impact factor: 4.452

  5 in total

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