A systematic approach to modeling, capturing, and disseminating proteomics experimental data-Reference-Cited by-同舟云学术

A systematic approach to modeling, capturing, and disseminating proteomics experimental data

Published:2003-03 Issue:3 Volume:21 Page:247-254
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Taylor Chris F.,Paton Norman W.,Garwood Kevin L.,Kirby Paul D.,Stead David A.,Yin Zhikang,Deutsch Eric W.,Selway Laura,Walker Janet,Riba-Garcia Isabel,Mohammed Shabaz,Deery Michael J.,Howard Julie A.,Dunkley Tom,Aebersold Ruedi,Kell Douglas B.,Lilley Kathryn S.,Roepstorff Peter,Yates John R.,Brass Andy,Brown Alistair J.P.,Cash Phil,Gaskell Simon J.,Hubbard Simon J.,Oliver Stephen G.

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/nbt0303-247.pdf

Reference16 articles.

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2. Pennington, S.R. & Dunn, M.J. (eds.) Proteomics. From Protein Sequence to Function (BIOS, Oxford, UK, 2001).

3. Attwood, T.K. The quest to deduce protein function from sequence: the role of pattern databases. Int. J. Biochem. Cell. Biol. 32, 139–155 (1999).

4. Oliver, S. Guilt–by–association goes global. Nature 403, 601–603 (2000).

5. Hoogland, C. et al. The 1999 SWISS–2DPAGE database update. Nucleic Acids Res. 28, 286–288 (2000).

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