PEDRo: A database for storing, searching and disseminating experimental proteomics data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-09-17

AUTHORS

Kevin Garwood, Thomas McLaughlin, Chris Garwood, Scott Joens, Norman Morrison, Christopher F Taylor, Kathleen Carroll, Caroline Evans, Anthony D Whetton, Sarah Hart, David Stead, Zhikang Yin, Alistair JP Brown, Andrew Hesketh, Keith Chater, Lena Hansson, Muriel Mewissen, Peter Ghazal, Julie Howard, Kathryn S Lilley, Simon J Gaskell, Andy Brass, Simon J Hubbard, Stephen G Oliver, Norman W Paton

ABSTRACT

BackgroundProteomics is rapidly evolving into a high-throughput technology, in which substantial and systematic studies are conducted on samples from a wide range of physiological, developmental, or pathological conditions. Reference maps from 2D gels are widely circulated. However, there is, as yet, no formally accepted standard representation to support the sharing of proteomics data, and little systematic dissemination of comprehensive proteomic data sets.ResultsThis paper describes the design, implementation and use of a P roteome E xperimental D ata R epo sitory (PEDRo), which makes comprehensive proteomics data sets available for browsing, searching and downloading. It is also serves to extend the debate on the level of detail at which proteomics data should be captured, the sorts of facilities that should be provided by proteome data management systems, and the techniques by which such facilities can be made available.ConclusionsThe PEDRo database provides access to a collection of comprehensive descriptions of experimental data sets in proteomics. Not only are these data sets interesting in and of themselves, they also provide a useful early validation of the PEDRo data model, which has served as a starting point for the ongoing standardisation activity through the Proteome Standards Initiative of the Human Proteome Organisation. More... »

PAGES

68

Journal

TITLE

BMC Genomics

ISSUE

1

VOLUME

5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2164-5-68

DOI

http://dx.doi.org/10.1186/1471-2164-5-68

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014739109

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15377392


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