Call for Papers and Referees
Hawaii International Conference on System Sciences - 26
Kauai, Hawaii - January 5-8, 1993
AI Technologies for Molecular Biological Analysis Minitrack
The rapid growth of genome/protein sequences in public databases has
created a need for more intelligent computer programs for extracting
knowledge from the genetic information. This minitrack is soliciting
papers describing the successful application of AI technologies to
problems in molecular biology in the following areas:
(1) AI approaches to biological data representation and storage:
Current biological databases are collections of documents about
sequences in various levels. A lot of efforts is required to
extract valuable information from incomplete, multi-formed and
scattered databases. Well-organized and flexible data management
systems, such as object-oriented database systems, deductive
database systems, and frame-oriented knowledge-bases could be
useful for this purpose.
(2) Analysis using knowledge: the rapid increase in genetic information
makes it difficult for researchers to analyze the structures and
functions of genome/proteins without the assistance of computers.
New AI techniques for classification, pattern recognition, and
inference can be applied to sequence analysis. Systems that
integrate data-driven methods with knowledge based methods are of
particular interest.
(3) Symbolic models of biological phenomena: Traditional scientific
computation has been primarily numerical. Biological knowledge is
often expressed in symbolic terms, for example, in the map of
intermediary metabolism or in Mendelian inheritance. We solicit
papers describing the application of qualitative reasoning and
other symbolic modelling techniques to biological problems.
(4) Laboratory Robotics: The use of robotic systems in genetic
sequencing and mapping is growing rapidly. We are interested in
papers describing innovative robotic engineering, integrated
laboratory management software systems, and other systems related
to the use of robotics for molecular biology
(5) Other applications of technologies associated with AI research to
biological problems are also of interest, including
Logic programming
Machine learning or neural networks
Hidden markov models
Bayesian inference and belief networks
Knowledge based approaches
Genetic Algorithm
Instructions for authors :
Authors are requested to prepare full papers of between 22 and 26
double-spaced pages in 12 point type. Papers must not have been
previously presented or published, or currently be under submission
for journal publication. Each manuscript will be refereed by at least
five reviewers. Manuscripts should include a title page which
includes the following information.
- the title of the paper
- the full name(s) of the author(s)
- affiliation(s)
- complete mailing and electronic address(es)
- fax number(s)
- an abstract of 300 words
Members of the community willing to serve as referees should send
their name, electronic and physical address, fax number, and areas of
interest to the program chair. Authors of submissions to this
minitrack may not serve as referees.
Deadlines:
* 300 word abstracts are due by April 24, 1992
* Feedback to the author concerning the abstract is due by May 10, 1992
* Six copies of the manuscript are due by June 5, 1992
* Notification of accepted papers is due by August 31, 1992
* Accepted camera ready manuscripts are due by October 1, 1992
* All registrations must be received no later than Nov. 15, 1992
Send submissions and questions to:
Katsumi Nitta
Institute for New Generation Computer Technology
1-4-28 Mita, Minato-ku, Tokyo 108, JAPAN
fax: +81-3-3456-1618
e-mail: hicss at icot.or.jp
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