High performance bioinformatics

Topic 17


Bioinformatics is the science of managing, mining, and interpreting information from biological sequences and structures. Genome sequencing projects have contributed to an exponential growth in complete and partial sequence databases. Similarly, the rapidly expanding structural genomics initiative aims to catalog the structure-function information for proteins. Advances in technology such as microarrays have launched the subfield of genomics and proteomics to study the genes, proteins, and the regulatory gene expression circuitry inside the cell. What characterizes the state of the field is the flood of data that exists today or that is anticipated in the future. Combined with the fact that many of the bioinformatics tasks are highly compute intensive (e.g., ad initio protein folding), it is clear that high performance computing has a fundamental role to play in various bioinformatics problems ranging from the protein folding problem to large-scale genomics to inferring pathways and regulatory networks.
The goal of this session is to present the latest research in high-performance computing applied to bioinformatics tasks. We are especially interested in scalable, parallel, and distributed algorithms for mining and analyzing bioinformatics data, as well as system tools that support large-scale high performance bioinformatics. Topics of interest include but are not limited to:

Global Chair:
Mohammed J. Zaki
Assistant Professor
Department of Computer Science
Rensselaer Polytechnic Institute
Troy NY 12180-3590

Vice Chair:
David A. Bader
Associate Professor and Regents' Lecturer
Electrical and Computer Engineering Department
University of New Mexico
Albuquerque, NM 87131, US

Vice Chair:
Johan Montagnat
Creatis, INSA, b. B. Pascal
20 av Albert Einstein
69621 Villeurbanne Cedex

Local Chair:
Prof. Concettina Guerra
Dip. Ingegneria dell'Informazione
Universita' di Padova
via Gradenigo 6a, 35100, Padova, Italy

Last modified: Fri Nov 28 19:30:15 CET 2003
Next topic Previous topic