000 03399naaaa2200385uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/42144
005 20220220102730.0
020 _a9078
020 _a9789814583220
024 7 _a10.1142/9078
_cdoi
041 0 _aEnglish
042 _adc
100 1 _aRuss B Altman
_4auth
700 1 _aLawrence Hunter
_4auth
700 1 _aTeri E Klein
_4auth
700 1 _aTiffany A Murray
_4auth
700 1 _aA Keith Dunker
_4auth
700 1 _aMarylyn D Ritchie
_4auth
245 1 0 _aBiocomputing 2014:Proceedings of the Pacific Symposium
260 _bWorld Scientific Publishing Co.
_c2013
300 _a1 electronic resource (436 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aThe Pacific Symposium on Biocomputing (PSB) 2014 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 2014 will be held from January 3 – 7, 2014 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2014 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: Cancer Panomics: Computational Methods and Infrastructure for Integrative Analysis of Cancer High-Throughput “Omics” Data Computational Approaches to Drug Repurposing and Pharmacology Detecting and Characterizing Pleiotropy: New Methods for Uncovering the Connection Between the Complexity of Genomic Architecture and Multiple Phenotypes Personalized Medicine: From Genotypes and Molecular Phenotypes Towards Therapy Text and Data Mining for Biomedical Discovery Workshops Readership: Academia and industry in the fields of biocomputing, bioinformatics and computational biology.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by-nc/4.0/
_2cc
_4https://creativecommons.org/licenses/by-nc/4.0/
546 _aEnglish
653 _aProtein Interactions
653 _aMetabolomics
653 _aBiocomputing
653 _aComputational Genetics
653 _aOntology
653 _aComputational Proteomics
653 _aBioinformatics
856 4 0 _awww.oapen.org
_uhttp://www.worldscientific.com/worldscibooks/10.1142/9078
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/42144
_70
_zDOAB: description of the publication
999 _c81285
_d81285