Expanded protein information at SGD: new pages and proteome browser. Author Robert Nash, Shuai Weng, Ben Hitz, Rama Balakrishnan, Karen Christie, Maria Costanzo, Selina Dwight, Stacia Engel, Dianna Fisk, Jodi Hirschman, Eurie Hong, Michael Livstone, Rose Oughtred, Julie Park, Marek Skrzypek, Chandra Theesfeld, Gail Binkley, Qing Dong, Christopher Lane, Stuart Miyasato, Anand Sethuraman, Mark Schroeder, Kara Dolinski, David Botstein, Michael Cherry Publication Year 2007 Type Journal Article 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. Keywords Saccharomyces cerevisiae, Proteomics, Computer Graphics, Internet, User-Computer Interface, Sequence Analysis, Protein, Saccharomyces cerevisiae Proteins, Genome, Fungal, Databases, Protein Journal Nucleic Acids Res Volume 35 Issue Database issue Pages D468-71 Date Published 01/2007 Alternate Journal Nucleic Acids Res. Google ScholarBibTeXEndNote X3 XML