Biotechnology Computing Track of HICSS
hunter at work.nlm.nih.gov
Mon Mar 9 13:26:19 EST 1992
A preliminary version of the CFP was accidentally sent to
bionet.announce. The corrected version follows.
Call for Papers
Biotechnology Computing Track
Hawaii International Conference on System Sciences 26
January 5-8, 1993
The twenty-sixth annual Hawaii International Conference on System
Sciences (HICSS) has expanded its coverage of Biotechnology to a full,
three day conference track. The track includes presentations of
original research, tutorials, advanced seminars and a distinguished
guest lecture. The purpose of the Biotechnology Computing Track is to
provide a forum for the interchange of ideas, research results, and
system building activities in all areas of computation related to
biology. Submitted papers are rigorously refereed, and accepted
papers are published in a conference proceedings available through the
IEEE Computer Society Press. The conference is sponsored by the
University of Hawaii in cooperation with the Association for Computing
Machinery (ACM), the IEEE Computer Society, and the Pacific Research
Institute for Information Systems and Management (PRIISM).
Advances in biotechnology generally and in the international Human
Genome Project are creating an explosion of important biological data.
The computational challenges inherent in gathering, managing and
analyzing this data are daunting, but the potential payoff is very
high. This challenge involves nearly every aspect of computer
science, from algorithm development, systems integration and advanced
database management to image analysis, artificial intelligence and
robotics. The Biotechnology Computing Track encompasses eight
minitracks, each focused on a rapidly evolving research area.
Relevant papers are solicited for each of the following minitracks.
Papers must be previously unpublished, and should be from 22-26 double
spaced pages in length, including figures. Prospective authors are
urged to contact the appropriate minitrack chair as early as possible.
Please leave adequate time for international mail, as all deadlines
are firm. Review papers and proposals for tutorials and advanced
seminars can be sent to the track chair.
For general information, contact the track chair:
Lawrence Hunter (hunter at nlm.nih.gov)
National Library of Medicine
Building 38A, Mail Stop 54
Bethesda, MD 20894
fax: (301) 496-0673
The other members of the Track steering committee are:
Tom Marr, Cold Spring Harbor Laboratory
John Wootton, National Center for Biotechnology Information
Minoru Kanehisa, Kyoto University
Manuscripts must be RECEIVED by June 5, 1992
Notification of accepted papers sent August 31, 1992
Accepted camera ready copy must be RECEIVED by October 1, 1992
International mail can be slow. We recommend use of courier services
to international destinations.
Biotechnology Computing Minitracks and Chairs. Please contact the
relevant minitrack chair as soon as possible for further information
on the requirements and deadlines for that minitrack.
* Computer Support for Genome Mapping and Sequencing: including genome
map assembly algorithms, map database management and design,
sequence assembly and analysis algorithms, integrated software
systems, and robotics for mapping and sequencing.
Mary Berlyn (berlyn at biomed.med.yale.edu)
Yale Dept. of Biology
117D Greeley Lab, 370 Prospect St.
New Haven, CT 06520
James Fickett (jwf at mrna.lanl.gov)
Charles Lawrence (chas at cmb.bcm.tmc.edu)
Stanley Letovsky (letovsky at cs.yale.edu)
* Methods for Dealing with Errors and Uncertainty in Molecular Biology
Calculations and Databases: including representing and/or reasoning
about mutations, natural variation, errors and omissions in
biological data, heuristics for handling uncertainty, plausible
simplifying assumptions and statistical methods.
Lloyd Allison (lloyd at cs.monash.edu.au)
Dept. of Computer Science, Monash University,
Clayton, Victoria, AUSTRALIA 3168.
tel: 61 3 565 5205 fax: 61 3 565 5146
* Alternative Approaches to Sequence Representation: including graphic
representations of nucleotide and protein sequence, representations
of patterns, automatic generation of patterns for sets of related
sequences, representation and analysis of structural and/or
functional regularities of sequences, application of novel
representations to recognition or analysis problems.
Victor Solovyev (solovyev at scri1.scri.fsu.edu)
Supercomputer Computations Research Institute
400 Science Center Library, Florida State University, B-186
Tallahassee, FL 32306-4052
phone (904)644-7012, fax: (904)644-0098
* Sequence Analysis Algorithms based on Physicochemistry and
Thermodynamics: including DNA and RNA physicochemical models,
experimental work and models of ribosome dynamics, algorithms based
on codon usage, models physicochemical properties on tRNA-mRNA or
rRNA-mRNA interactions, models and computational analysis of intron
Germinal Cocho (cocho at sysul2.ifisicacu.unam.mx)
Instituto de Fisica
Universidad Nacional Autonoma de Mexico
Apartado Postal 20-364, Mexico 01000, D.F. Mexico
Telephone: 525-548 9783 FAX: 525-548 3111
* Computer-Aided Drug Design: including integrated systems, machine
learning techniques, design and use of databases for molecular
design, molecular graphics techniques, molecular modeling and
quantitative structure-activity relationship (QSAR) tools.
Teri Klein (klein at cgl.ucsf.edu)
UCSF Computer Graphics Lab
513 Parnassus Ave., Box 0446
San Francisco, CA 94143
(415) 476-0663, fax: (415) 502-1755
Kimberle Koile (kkoile at arris.com)
* Protein Structure Prediction: including statistical and machine
learning approaches, multi-strategy systems, topology prediction,
lattice models, loop placement, side-chain conformation prediction,
methods for distinguishing native from incorrect alternative
foldings, mutational analysis.
Richard Lathrop (rickl at ai.mit.edu)
MIT AI Lab, NE43-795
545 Technology Square
Cambridge, MA 02139
phone: (617)253-8833 fax: (617)258-8682
* AI Technologies for Molecular Biology Analysis: including object
oriented and deductive databases for biology, knowledge-based
modeling of biological phenomena, pattern recognition, neural
network and machine learning applied to macromolecular sequences,
Katsumi Nitta (nitta at icot.or.jp)
Institute for New Generation Computer Technology
1-4-28 Mita, Minato-ku, Tokyo 108, JAPAN
* Simulation Methods in Computational Neuroscience: including
numerical algorithms and techniques for integrated data acquisition,
analysis and simulation, user interface issues, parallel processing,
simulation languages, methods of constructing and validating models
of biological neural circuits.
Anthony Zador (zador at yale.edu)
Box 11A Yale Station
New Haven, CT 06511
fax (203) 432-7172
Lawrence Hunter, PhD.
National Library of Medicine
Bldg. 38A, MS-54
Bethesda. MD 20894
(301) 496-0673 (fax)
hunter at nlm.nih.gov (internet)
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