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Expanded protein information at SGD: new pages and proteome browser

Authors :
Rama Balakrishnan
Chandra L. Theesfeld
Robert S. Nash
Maria C. Costanzo
J. Michael Cherry
Kara Dolinski
Marek S. Skrzypek
Eurie L. Hong
Mark Schroeder
David Botstein
Shuai Weng
Michael S. Livstone
Stacia R. Engel
Selina S. Dwight
Christopher Lane
Gail Binkley
Benjamin C. Hitz
Julie Park
Stuart R. Miyasato
Jodi E. Hirschman
Karen R. Christie
Anand Sethuraman
Dianna G. Fisk
Qing Dong
Rose Oughtred
Source :
Nucleic Acids Research
Publication Year :
2007
Publisher :
Oxford University Press (OUP), 2007.

Abstract

The recent explosion in protein data generated from both directed small-scale studies and large-scale proteomics efforts has greatly expanded the quantity of available protein information and has prompted the Saccharomyces Genome Database (SGD; http://www.yeastgenome.org/) to enhance the depth and accessibility of protein annotations. In particular, we have expanded ongoing efforts to improve the integration of experimental information and sequence-based predictions and have redesigned the protein information web pages. A key feature of this redesign is the development of a GBrowse-derived interactive Proteome Browser customized to improve the visualization of sequence-based protein information. This Proteome Browser has enabled SGD to unify the display of hidden Markov model (HMM) domains, protein family HMMs, motifs, transmembrane regions, signal peptides, hydropathy plots and profile hits using several popular prediction algorithms. In addition, a physico-chemical properties page has been introduced to provide easy access to basic protein information. Improvements to the layout of the Protein Information page and integration of the Proteome Browser will facilitate the ongoing expansion of sequence-specific experimental information captured in SGD, including post-translational modifications and other user-defined annotations. Finally, SGD continues to improve upon the availability of genetic and physical interaction data in an ongoing collaboration with BioGRID by providing direct access to more than 82,000 manually-curated interactions.

Details

ISSN :
13624962 and 03051048
Volume :
35
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....3ba27d2d87577cee1fbee79c722abaa1
Full Text :
https://doi.org/10.1093/nar/gkl931