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E-raamat: Biocomputing 2009 - Proceedings Of The Pacific Symposium

Edited by (Stanford Univ, Usa), Edited by (Stanford Univ, Usa), Edited by (Indiana Univ, Usa), Edited by (Stanford Univ, Usa), Edited by (Univ Of Colorado Health Sciences Center, Usa)
  • Formaat: 564 pages
  • Ilmumisaeg: 28-Nov-2008
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789814469265
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  • Formaat: 564 pages
  • Ilmumisaeg: 28-Nov-2008
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789814469265

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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.
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.