[UCI-CalIT2] Seminar Friday Feb 13 -- Computation in DNA Sequence Analysis

Stuart A ROSS STUROSS@uci.edu
Thu, 12 Feb 2004 17:32:40 -0800


University of California, Irvine 
INSTITUTE for GENOMICS and BIOINFORMATICS 
www.igb.uci.edu

Distinguished Speaker Series 2003-2004
 
Mark Borodovsky, Ph.D.
"Unsupervised Model Training for DNA Sequence Analysis Algorithms"

Friday, February 13, 2004 at 4:00pm 
McDonnell Douglas Auditorium
University of California, Irvine

This event is co-sponsored by the California Institute for
Telecommunications & Information Technology - Cal[IT]2

Abstract:
The Expectation-maximization (EM) algorithms are quite popular in
Bioinformatics.  They can be used for solving various problems  from
multiple sequence alignment, prediction of binding sites and promoters
to building phylogenetic trees and gene networks.  I will talk about use
of the EM algorithms for gene identification in prokaryotic and
eukaryotic genomes. These EM algorithms will generalize GeneMark and
GeneMark.hmm gene finding algorithms which can be defined in terms of
posterior decoding (forward and backward algorithm) and Viterbi
algorithm respectively.

About the Speaker:
Dr. Mark Borodovsky is Director of the Center for Bioinformatics and
Computational Biology and a Regents' Professor at School of Biology and
Department of Biomedical Engineering at the Georgia Institute of
Technology.  He is also a Founder and a Chair of graduate program in
Bioinformatics at Georgia Tech.  His research interests are in
developing machine learning algorithms for statistical pattern
recognition in biomolecular data, DNA and protein sequences,
particularly, algorithms of expectation-maximization type.  Dr.
Borodovsky received the MS in Physics in 1972 and PhD in Applied
Mathematics in 1976 from The Institute of Physics and Technology,
Moscow, Russia.  He started research in Bioinformatics in 1984 in
Moscow, with developing HMM-like gene finding algorithm and software
program, later known as GeneMark, which was used for gene annotation in
the first completely sequenced bacterial and archaeal genomes.  Further
progress in genome sequencing has motivated developments of new versions
of GeneMark suitable for gene prediction in various classes of newly
sequenced genomes.

Anyone wishing to meet with Dr. Borodovsky should contact Michele McCrea
at igb@ics.uci.edu

R.S.V.P. is requested to the email address above.

Free and open to the public.  Seating is on a first-come, first-served
basis.

For more information on the Institute for Genomics and Bioinformatics,
and the complete series of presentations, please visit:  www.igb.uci.edu