CFP: Workshop on Genetic Regulatory Networks at ALife VII
torsten.reil at zoology.oxford.ac.uk
Tue Mar 21 17:10:08 EST 2000
CFP: Workshop on Genetic Regulatory Networks
At the Artificial Life Conference: ALife VII
1st to 6th August 2000
Organisers: Richard Tateson, Torsten Reil
This workshop aims to bring together biological, artificial life,
and industrial perspectives on the nature, understanding and
potential of genetic regulatory networks.
Submissions of papers for the workshop are invited from workers
in any of these fields.
Given that the workshop is taking place as part of an artificial
life conference, the organisers are particularly keen to
encourage submissions and participation from researchers in the
biological and industrial fields.
Papers to be considered for inclusion should reach the organisers
by 12th May 2000.
Possible questions to consider might include:
- What is the relevance of self-organising properties in
gene regulation networks for development and evolution?
- Why do gene regulation networks show a high degree of
- How can highly integrated gene networks evolve
- Do currently available models capture the fundamental features of
natural gene regulation?
All submissions accepted will be published in the workshop
The workshop will be held at the ALife VII conference in Portland,
Oregon, 1st to 6th August 2000.
For further details, please contact the workshop organisers (see
below) and visit the conference website: http://alife7.alife.org/
12th May 2000: deadline for workshop paper submission
16th June 2000: notification of acceptance
1st August 2000: conference opens in Portland
Submissions should be limited to six pages and sent to Richard
(address below). Electronic versions are preferred.
Admin 2 pp5
Ipswich IP5 3RE
richard.tateson at bt.com
telephone: ++44 1473 646939
fax : ++44 1473 647410
Department of Zoology
University of Oxford
Oxford OX1 3PS
torsten.reil at zoology.oxford.ac.uk
telephone: ++44 1865 281 519
Genetic Regulatory Networks - An Overview:
This is an exciting time in the field of genetic regulatory
networks. Research work in three areas is moving the field
The largest of these is evolutionary and developmental cell
biology. The last two decades have seen great advances in
relating gene sequence to function. In recent years this has
been extended to the functions and interactions of groups of
genes. Genetic epistasis experiments, molecular biology and DNA
sequencing have combined to give a great deal of information
about control pathways within the cell.
Another area is artificial life. Research has been conducted
into the general features of random networks and the kinds of
control which can, or must, emerge. In parallel there has been
much work on the use of a 'genome' to orchestrate a morphogenetic
program and on the properties of evolutionary systems, involving
some form of 'genetic' encoding.
The final area, and currently the smallest, is research into
novel computational techniques. The telecommunications and
computer industries invest heavily in such work, and genetic
regulatory networks are currently being examined as one possible
source of inspiration. Many of the features of genetic control
(compact, robust, adaptable and distributed) make it attractive
but it is not yet clear what the appropriate level of abstraction
from the biological and artificial life disciplines would be.
The time is ripe for dialogue among these historically distinct
disciplines. Indeed there are already several examples of
productive collaboration between the biological and artificial
life fields. The workshop aims to bring together people from the
three areas and to stimulate discussion of cross-fertilization
and mutually useful interactions.
Submissions are invited from researchers in any of these areas.
The implications of work in one area for research in other areas
should be a key point in submissions.
Given that the workshop is taking place under the auspices of an
artificial life conference, the organisers are particularly keen
to encourage submissions from workers in the biological and IT
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