CalIT2, University of California, San Diego
Aug. 30 - Sep. 1 , 2006
For full program, see:
http://biofunctionprediction.org/AFP/afp06/program/
Sequence and structure genomics have generated a wealth of data. However, extracting meaningful information from genomic data is becoming increasingly difficult. Both the number and the diversity of discovered genes is increasing. This increase means that established annotation methods, such as homology transfer, are annotating less data. In addition, there is a need for annotation which is standardized so that it could be incorported into function annotation on a large scale. Finally, there is a need to assess the quality of the function prediction software which is out there. We probably know the sequence of the target for next generation antibiotics or cancer treatment. We just did not recognize that target for what it is: it is currently annotated as a "domain of unknown function".
The mission of the Automated Function Prediction Special Interest Group (AFP-SIG) is to bring together computational biologists who are dealing with the important problem of gene and gene product function prediction, to share ideas and create collaborations. To that end we organized the first meeting in 2005, and another will be held in August 2006 This site will also serve as an information source for the latest developments in the field.
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Invited Speakers:
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Russ B. Altman, Stanford University Philip E. Bourne, University of California, San Diego, USA Steven E. Brenner, University of California, Berkeley, USA Terry Gaasterland, Scripps Institute of Oceanography, La Jolla, USA Adam Godzik, Burnham Institute for Medical Research and University of California, San Diego USA Christos Ouzounis European Bioinformatics Institute, Cambridge, UK Anna Tramontano, University of Rome, "La Sapienza", Rome, Italy and the BioSapiens Network of Excellence Shoshana Wodak, Hospital for Sick Children, and Departments of Biochemistry and Medical Genetics, University of Toronto,Canada.
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