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Intelligent Systems in Biology call for papers and referees

Richard Lathrop rickl at tahiti.ICS.UCI.EDU
Thu Apr 12 16:42:38 EST 2001

Dear Colleagues,

Please contribute to the special issue of "IEEE Intelligent Systems"
for "Intelligent Systems in Biology," either as author or referee.

The call is below.  It also links from the IS homepage,
http://computer.org/intelligent, and the direct link is

	All best regards  -=*=-  Rick Lathrop

Richard H. Lathrop
Vice-Chair of Undergraduate Education
Director, ICS Honors Program
Department of Information
   and Computer Science
University of California
Irvine, CA 92697-3425 USA
rickl at uci.edu
949-824-4021 (voice)
949-824-4056 (fax)


     Special Issue, IEEE Intelligent Systems, Sep/Oct 2001

               Call for Papers and Referees


Biology is rapidly becoming a data-rich science due to recent massive
data generation technologies, while our biological colleagues are
designing cleverer and more informative experiments due to recent
advances in molecular science.  These data and these experiments hold
the keys to the deepest secrets of biology and medicine, but cannot be
analyzed fully by humans due to the wealth and complexity of the
information available.  The result is a great need for intelligent
systems in biology.

Intelligent systems probably helped design the last drug your doctor
prescribed, and intelligent computational analysis of the human genome
will drive medicine for at least the next half-century.  Even as you
read these words, intelligent systems are working on gene expression
data to help understand genetic regulation, and thus ultimately the
regulated control of all life processes including cancer,
regeneration, and aging.  Modern intelligent analysis of biological
sequences results today in the most accurate picture of evolution ever
achieved.  Knowledge bases of metabolic pathways and other biological
networks presently make inferences in systems biology that, for
example, allow a pharmaceutical program to target a pathogen pathway
that does not exist in humans, resulting in fewer side-effects to
patients.  Intelligent literature access systems exploit a knowledge
flow exceeding half a million biomedical articles per year, while
machine learning systems exploit heterogenous online databases whose
exponential growth mimics Moore's law.  Knowledge-based empirical
approaches currently are the most successful method now known for
general protein structure prediction, a problem that has been called
the "Holy Grail of molecular biology" and "solving the second half of
the genetic code."

This announcement seeks papers and referees for a special issue on
"Intelligent Systems in Biology."  Preferred papers will describe an
implemented intelligent system that produces results of significance
in biology or medicine.  Systems which extend or enhance the
intelligence of human biologists are especially welcome.  Referees are
solicited from experts in the field who do not intend to submit a


Authors should note that IEEE Intelligent Systems is a scholarly
peer-reviewed publication intended for a broad research and user
community.  An informal, direct, and lively writing style should be
adopted.  The issue will contain a tutorial and an overview of the
field, but explicitly biological terms or concepts should be explained
concisely.  Manuscripts should be original and should have between 6
and 10 magazine pages (not more than 7,500 words) with up to 10
references.  Manuscripts should be sent to rickl at uci.edu in PDF format
by 25 May, 2001.  Potential referees and general inquiries should
contact rickl at uci.edu directly.


Richard H. Lathrop
Dept. of Information and Computer Science
University of California, Irvine
Irvine, CA 92697-3425 USA
Phone: 949-824-4021
Fax: 949-824-4056
Email: rickl at uci.edu
Web: http://www.ics.uci.edu/~rickl/


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