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PSB 2005
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To provide focus for the very broad area of biological computing, PSB is organized into a series of specific sessions. Each session will involve both formal research presentations and open discussion groups. The 2005 PSB sessions are:
This session will focus on statistical and computational methods for inferring functional SNPs and their consequences, with an emphasis on novel approaches that merge population and comparative genomics. The recent avalanche of SNP data has led to rapid development of new techniques and models in a variety of research disciplines, and we encourage manuscript submissions that combine approaches from fields such as bioinformatics, computational biology, evolutionary and human genetics, and molecular and cellular biology.
Contact: Carlos Bustamante (cdb28@cornell.edu)
BioGeometry is an emerging scientific discipline at the interface between computational geometry, biochemistry and biophysics, statistics, and chemistry that brings together specialists in the above disciplines to develop new computational techniques and paradigms for representing, storing, searching, simulating, analyzing, and visualizing biological structures. BioGeometry brings together ideas from a wide range of areas of computer science and mathematics, including algorithms, geometry, topology, graphics, robotics, and databases to address on of the most fundamental biological problems, i.e., structure-function relationships for biological molecules.
Contact: Alex Tropsha (alex_tropsha@unc.edu)
Currently there are ongoing efforts to develop high-throughput methods for protein structure determination both in industry and in academia. This session will continue to present progress and achievements in the field of structural genomics through the use of computational techniques.
Contact: Sean Mooney (sdmooney@iupui.edu)
This session is designed to explore the current state-of-the-art research taking place in bioinformatics, biostatistics, and computational genetics to develop tools for the handling of all the pharmacogenomics data being generated. The goal of this session is the presentation and discussion of new research, algorithms, and methods for the management and analysis of pharmacogenomics data. We intend for this session to bring together scientists from pharmacology, genetics, statistics, and computational biology/bioinformatics to share their efforts in pharmacogenomics.
Contact: Marylyn Ritchie (ritchie@chgr.mc.vanderbilt.edu)
This session will focus on the development and application of methods in computational genomics that employ joint learning from multiple types of data. Preference will be given to methods that attempt to simultaneously (jointly) discover patterns in multiple types of data, rather than apply separate methods in series to each type of data. The performance of the methods should ideally be compared to the performance that can be obtained from learning from one data source at a time.
Contact: Alex Hartemink (amink@cs.duke.edu)
Ontologies provide an organizational framework of the concepts involved in biological processes in a system that can be used computationally for reasoning about biomedical knowledge. Ontologies provide a conceptualization of the domain that can be shared among diverse groups of researchers and computational systems. This session will explore the theories, techniques, and applications of biomedical ontologies. The overall session goal is to share new research ideas and achieve a better understanding of current approaches, issues, and challenges in ontology research.
Contact: Olivier Bodenreider (olivier@nlm.nih.gov)