Keynote Speakers: Pioneers in Bioinformatics
will continue the tradition of presenting keynote speakers investigating
biological questions with innovations in computational science.
is a major figure in the development of sequence searching techniques.
He has written papers on the appropriate statistical approaches
to evaluating sequence alignments. Altschul developed the immensely
powerful and flexible sequence searching program BLAST as well as
variations on the central idea of BLAST that have improved the sensitivity
of the searching process: PHI-BLAST and PSI-BLAST. He is currently
a Senior Investigator with the Computational Biology Branch of the
National Center for Biotechnology Information (NCBI).
has been one of the pre eminent researchers in the study of Drosophila
melanogaster throughout his career. With the advent of the Drosophila
genome sequencing initiative, he developed FLYBASE, a powerful annotation
platform that integrated new genome sequence data with the corpus
of knowledge of genetic, developmental and physiological mechanisms
amassed over the last century. Most recently he has been a pivotal
player in the development of the Gene Ontology project. He is currently
a professor in the Department of Genetics at Cambridge University
and a Senior Researcher at the European Bioinformatics Institute
has studied evolution from a molecular perspective for most of his
scientific career. He has been studying evolutionary origins of
prokaryotes and eukaryotes, and this includes wrestling with the
role of lateral gene transfer between single-celled organisms in
evolution and the problems that this lateral transfer raises for
current methods of phylogenetic reconstruction. Doolittle is a professor
of biochemistry at Dalhousie University and director of the Canadian
Institute of Evolutionary Biology.
is a leading figure in the field of automated genome annotation.
While at the Argonne National Laboratory and the University of Chicago
she developed the MAGPIE annotation system. Since moving to the
Rockefeller University, where she is currently an assistant professor,
she has initiated development of several other annotation tools.
These include HERON, TANGO, EGRET and SANDPIPER, all based on logic-based
queries for manipulating semantic information. She is applying these
tools to microarray data, phylogenetic inference, and structural
has developed many computational tools for studying and modeling
protein three dimensional structure. His extensive theoretical treatments
of molecular energetics and dynamics are providing new insights
into the mechanisms of protein structure, protein-protein interactions,
and protein-membrane interactions. As high-throughput structure
prediction methods are being developed, Honigs work is at
the leading edge of method development and investigating mechanisms
of membrane targeting by peripheral proteins and the detailed dynamics
of protein-protein association. He is a professor of biochemistry
and molecular biophysics at Columbia University.
associate professor at State University, New York (SUNY) Stonybrook,
applies techniques of information theory to the systematic study
of embryonic development in Drosophila melanogaster. His theoretical
treatments of this complex phenomenon are based on experimental
determination of the changing concentrations of maternally-derived
signaling gene products as the hierarchy of determination develops
in the syncytial blastoderm. His efforts have transformed the descriptive
analyses of the patterns of individual gene expression into a well-defined,
predictive model of information flow during the development of the
fundamental body plan.
is the manager of the Bioinformatics and Pattern Discovery group
at IBMs Computational Biology Center. He developed the Teiresias
algorithm, a generalized method for unsupervised pattern discovery.
He and his collaborators have implemented this algorithm for a number
of biological pattern identification problems and categorization
problem covering most of the questions that are current in computational
biology. This software initiative is a major part of the IBM BlueGene
project in computational