| Title: | PEDRo: A database for storing, searching and disseminating experimental proteomics data |
| Authors: | Garwood, Kevin 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 |
| Issue Date: | 17-Sep-2004 |
| Citation: | BMC Genomics 2004, 5:68 |
| Abstract: | Abstract Background 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. Results 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. Conclusions 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. |
| Description: | RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are. |
| URI: | http://www.dspace.cam.ac.uk/handle/1810/238114 http://dx.doi.org/10.1186/1471-2164-5-68 |
| Appears in Collections: | Scholarly works - Biochemistry |
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