Abstract
Proteomics 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. This paper describes the design, implementation and use of a Proteome Experimental Data Repository (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. The 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.
MeSH Terms
Animals
Arabidopsis Proteins/chemistry
Bacterial Proteins/chemistry
Candida albicans/chemistry,pathogenicity
Candida glabrata/chemistry,pathogenicity
Computational Biology/methods
Database Management Systems/trends
Databases, Protein/trends
Fungal Proteins/chemistry
Helminth Proteins/chemistry
Jejunal Diseases/parasitology
Mice
Proteins/chemistry
Proteomics
Saccharomyces cerevisiae Proteins/chemistry
Software Design
Streptomyces coelicolor/chemistry
Trichinella spiralis/pathogenicity
Trichinellosis/pathology
Chemicals
Arabidopsis Proteins
Bacterial Proteins
Fungal Proteins
Helminth Proteins
Proteins
Saccharomyces cerevisiae Proteins
Authors & Affiliations
25 authors, click to expand affiliations / ORCID
Garwood Kevin
Department of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK. garwood@cs.man.ac.uk
McLaughlin Thomas
Garwood Chris
Joens Scott
Morrison Norman
Taylor Christopher F
Carroll Kathleen
Evans Caroline
Whetton Anthony D
Hart Sarah
Stead David
Yin Zhikang
Brown Alistair J P
Hesketh Andrew
Chater Keith
Hansson Lena
Mewissen Muriel
Ghazal Peter
Howard Julie
Lilley Kathryn S
Gaskell Simon J
Brass Andy
Hubbard Simon J
Oliver Stephen G
Paton Norman W
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