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HUM-MOLGEN -> Events -> Meetings and Conferences | ||||||||||||||||
Human Genomic Variation: Disease, drug response and clinical phenotypes | ||||||||||||||||
April 20, 2001 | ||||||||||||||||
A session of the Pacific Symposium on Biocomputing 2002, Kauai, Hawaii, USA January 3-7, 2002 The recent completion of the first assembly of the human genome has provided an invaluable tool for investigating the biology of our species. Several academic and industrial laboratories are working to add value to this raw genome sequence by generating DNA variation and gene expression data. However, researchers are encountering substantial challenges regarding the management, annotation and analysis of this information. Many of the critical issues involved in linking genetic variation to clinical phenotypes are complicated by a need to synthesize biological and computational expertise. For example, there is a need to apply and extend population genetic analyses to high- throughput data to elucidate underlying patterns of variation in the human genome. When operating at a high-throughput mode, extensive software architectures are needed, and quality control of the data is essential. Current approaches for molecular profiling call for the combined use of genetics and functional genomics data. New and improved algorithms for class discovery and prediction within the combined data sets are needed. Furthermore, disparate academic and industrial databases must be integrated in order to connect genomic and clinical information; yet is unclear that the underlying ontologies used in these repositories lead to easy interoperation. However, the rewards for overcoming these challenges will be considerable, including an improved understanding of genetic disease and the entire range of normal phenotypic variation and individual differences in drug response. The session of the Pacific Symposium on Biocomputing 2002 "Human Genomic Variation: Disease, drug response and clinical phenotypes" will provide a forum for biologists and computer scientists working in academics, government and industry to discuss and develop new approaches to use high throughput genetic variation and expression data to inform scientific and clinical studies. We encourage academic, industrial and government scientists to submit manuscripts. In addition to a session for oral presentation of novel peer-reviewed contributions, there will be a panel discussion devised to foster exchange between industry and academic scientists. Participants are invited to discuss their issues with other peers in this panel session. Posters and computer demonstrations are also requested to complement the session. POSSIBLE TOPICS + Lessons from single gene variation analyses studies on human disease and drug response + Algorithms and methods for analyzing association, linkage disequilibrium, and QTL studies using SNPs in candidate gene sets and whole genome scans + Laboratory Information Management Systems for high- throughput genotyping and functional genomics + Methods, algorithms and procedures for QC/QA in high- throughput genotyping-functional genomics operations + Algorithm and methods for molecular classification from genotypic-phenotypic databases + Correlation finding and knowledge discovery in genotypic- phenotypic databases + Ontologies, control vocabularies, data exchange formats, and data models for genotypic-gene expression-phenotypic data + Examples of data integration and data mining of genotyping, gene expression and clinical phenotypic databases + Visualization of large-scale genotypic-gene expression data + Evolutionary models of genome variability and linkage disequilibrium vs. empirical data findings |
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Organized by: | F. De La Vega; I. Kohane; C. Stephens; J. Schneider | |||||||||||||||
Invited Speakers: | A panel of invited academic and industry speakers (to be announced later in the year)will be held during the conference, in addition to oral presentation of novel peer-reviewed contributions, and a poster and computer demo session. | |||||||||||||||
Deadline for Abstracts: | Papers: July 16, 2001; Abstracts: November 5, 2001 | |||||||||||||||
Registration: | The Pacific Symposium on Biocomputing (PSB 2002) 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. The symposium is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling and other computational methods, as applied to the data-rich areas of molecular biology. PSB 2002 will be held January 3-7, 2002, in Lihue, Kauai at the Kauai Marriott Resort and Beach Club. For more information about this session, the other sessions of the conference, lodging and registration see the official web site at: http://psb.stanford.edu |
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E-mail: | psb@smi.stanford.edu | |||||||||||||||
Posted by: | Francisco De La Vega | |||||||||||||||
Host: | fw2.appliedbiosystems.com | |||||||||||||||
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