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    BIOCOMPUTING 2009
    Proceedings of the Pacific Symposium
    Kohala Coast, Hawaii, USA, 5 – 9 January 2009

    edited by Russ B Altman (Stanford University, USA) , A Keith Dunker (Indiana University, USA) , Lawrence Hunter (University of Colorado Health Sciences Center, USA) , Tiffany Murray (Stanford University, USA) , & Teri E Klein (Stanford University, USA)

    The Pacific Symposium on Biocomputing (PSB) 2009 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 2009 will be held on January 5–9, 2009 in Kamuela, Hawaii. Tutorials will be offered prior to the start of the conference.

    PSB 2009 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 “hot topics.” In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

     
    Contents:
    • Biomolecular Networks: From Analysis to Synthesis
    • Computational Challenges in Comparative Genomics: Gene Family Evolution, Ancestral Genome Reconstruction, and Applications to Human Genetics
    • Dynamics of Biological Networks
    • Emerging Challenges in Multi-Scale Modeling in Biology
    • Knowledge-Driven Analysis and Data Integration for High-Throughput Biological Data
    • Molecular Bioinformatics for Disease
     
    Readership: Academia and industry in the fields of biocomputing, bioinformatics and computational biology.
     


     
    564pp    Pub. date: Nov 2008  
    ISBN:   978-981-283-692-2
    981-283-692-6
       US$175 / £102

     


    564pp    Pub. date: Nov 2008  
    ISBN:   978-981-283-693-9(ebook)
    981-283-693-4(ebook)
       US$228 / £133

     


     

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    Updated on 20 November 2009