Pacific Symposium on Biocomputing 2007
Author: Russ Altman
Publisher: World Scientific
Published: 2006
Total Pages: 526
ISBN-13: 981277243X
DOWNLOAD EBOOKThe Pacific Symposium on Biocomputing (PSB) 2007 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2007 will be held January 3OCo7, 2007 at the Grand Wailea, Maui. Tutorials will be offered prior to the start of the conference. PSB 2007 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing''s OC hot topics.OCO In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field. Sample Chapter(s). Chapter 1: Protein Interactions and Disease (106 KB). Contents: Protein Interactions and Disease; Computational Approaches to Metabolomics; New Frontiers in Biomedical Text Mining; Biodiversity Informatics: Managing Knowledge Beyond Humans and Model Organisms; Computational Proteomics: High-Throughput Analysis for Systems Biology; DNA-Protein Interactions: Integrating Structure, Sequence, and Function. Readership: Academia and industry in the fields of biocomputing, bioinformatics and computational biology."