Pacific Symposium on Biocomputing 2007: Maui, Hawaii, 3-7 by Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Tiffany

By Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Tiffany Murray, Teri E. Klein

The Pacific Symposium on Biocomputing (PSB) 2007 is a global, multidisciplinary convention for the presentation and dialogue of present examine within the concept and alertness of computational tools in difficulties of organic value. shows are carefully peer reviewed and are released in an archival lawsuits quantity. PSB 2007 can be held January 3-7, 2007 on the Grand Wailea, Maui. Tutorials could be provided ahead of the beginning of the convention. PSB 2007 will collect best researchers from the USA, the Asian Pacific international locations, and all over the world to switch examine effects and handle open concerns in all points of computational biology. it's a discussion board for the presentation of labor in databases, algorithms, interfaces, visualization, modeling, and different computational tools, as utilized to organic difficulties, with emphasis on functions in data-rich components of molecular biology. The PSB has been designed to be attentive to the necessity for severe mass in sub-disciplines inside biocomputing. hence, it's the in simple terms assembly whose classes are outlined dynamically every year based on particular proposals. PSB periods are geared up by means of leaders of study in biocomputing's "hot topics." during this approach, the assembly offers an early discussion board for critical exam of rising equipment and methods during this swiftly altering box.

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248-250. , L. Montecchi-Palazzi, M. Quondam, G. Ausiello, M. HelmerCitterich, and G. Cesareni, MINT: a Molecular INTeraction database. FEBS Letters, 2002. 513(1): p. 135-140. , DIP: The Database of Interacting Proteins. A research tool for studying cellular networks of protein interactions. NAR, 2002. 30: p. 303-5. , L. Montecchi-Palazzi, C. Lewington, S. Mudali, S. Kerrien, S. Orchard, M. Vingron, B. Roechert, P. Roepstorff, A. Valencia, H. Margalit, J. Armstrong, A. Bairoch, G. Cesareni, D. Sherman, and R.

Wall, and M. B. Eisen. Coevolution of gene expression among interacting proteins. Proc Natl Acad Sci U S A, 101(24):9033-9038, 2004. L. J. van 't Veer, H. Dai, M. J. van de Vijver, Y. D. He, A. A. M. Hart, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature, 415:530-536, 2002. P. Warnat, R. Eils, and B. Brors. Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes. BMC Bioinformatics, 6:265, 2005. CHALKBOARD: ONTOLOGY-BASED PATHWAY MODELING AND QUALITATIVE INFERENCE OF DISEASE MECHANISMS COOK, DANIEL L \ WILEY, JESSE C 2, & GENNARI, JOHN H 3 'Physiology/Biophysics, 2Comparative Medicine, ^Biomedical & Health University of Washington, Seattle, WA, 98195, USA Informatics, We introduce Chalkboard, a prototype tool for representing and displaying cell-signaling pathway knowledge, for carrying out simple qualitative reasoning over these pathways, and for generating quantitative biosimulation code.

38 Focused analysis helps uncover false negatives, and can potentially result in calling attention to yet unexplored genetic linkages and descriptive research on the disease, such as chromosomal aberrations, specific genetic mutations and amplifications that play a role in the disease that can then be investigated through wet lab experiments. Future work includes improvement of the normalization module to reduce duplicates, since this pollutes the connectivity measures by generating unnecessary nodes, as well as tuning of the formula and methodology with other diseases to potentially incorporate other measures.

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