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Computational Biology
Dear STAMAsters,
The following note came through from Sandy Tonneson through the
Sci-Tech-Healthcare Listserve (STHC-L) in the USA. Apologies to members of
both listserves for double postings (we are trying to sort this one out but
for the moment there will be some double posting)
Cheers ... Gavan
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This message came across my email lines, which prompted thoughts about
the archival aspects of computational biology electronic data. New
challenges are arising for archivists every day!
Sandy Tonnesen
Sandia National Laboratories
sltonne@sandia.gov
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From the Ecological Society of America newsgroup:
Senate Hearing on Computational Biology
On September 17 the Senate Subcommittee on Science,
Technology, and Space held a hearing on computational biology. Several
biologists of various areas of expertise gave testimony on the
numerous benefits that have resulted from advances in computer
technology giving application examples from their specific
disciplines. Among the issues discussed were information sharing and
availability, computational neurobiology, genome analysis, ecosystem
ecology, evolutionary biology, and the development of the field
itself.
The emerging field of computational biology was defined by Dr.
Mary Clutter of the NSF as the application of advances in computer,
mathematical, and information sciences to solve biological problems
requiring large scale computation and analysis. One of the major
scientific needs addressed by this field is the analysis of complex
biological systems. The development and application of new and more
advanced analytic tools such as algorithms, modeling techniques, and
theoretical constructs have proven invaluable in the study of
ecosystem ecology and resource management, said Clutter.
ESA member Dr. Ingrid C. Burke of Colorado State University's
Department of Forestry Sciences attested to the current and future
impacts of computer technology in her field. She explained how
simulation modeling is enabling scientists to more easily recognize
the impacts of changes in the relationships of given ecosystems which
helps to more clearly understand both our current and future
situations. Dr. Burke also addressed how biological information, when
combined
with social and economic data, can be channelled through these models
to provide information on the future effects and the sustainability of
human land use. For example, answers to essential questions
concerning the future viability of certain socioeconomic regions can
be predicted though such models by predicting a region's
susceptibility to drought, floods, erosion, or climatic change, all of
which can lead to better management policies.
The panel members described computational biology as an
exciting new field which is providing endless possibilities for
biological research. It is responsible for both the creation of new
and more complete models leading to better information as well as the
management and dissemination of that information. The testimony of
the witnesses
was received favorably by the chairman of the subcommittee Senator
Conrad Burns. The other members of the witness panel were: Dr. David
L. Kingsbury of the Johns Hopkins University Division of Biomedical
Information Sciences, Dr. John C. Mazziotta of the UCLA School of
Medicine's Department of Neurology, and Dr. Robert J. Swenson,
Vice-President for Research, Creativity, and Technology Transfer at
Montana State University - Bozeman.
For more information contact the Science, Technology, and Space
Subcommittee at 202/ 224 - 8172.
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* Gavan McCarthy - Director
* Australian Science Archives Project
* University of Melbourne
* 203 Bouverie Street
* Carlton, Vic. 3053 Australia
* gavan@asap.unimelb.edu.au
* Phone: +61 3 9344 9287 Fax: +61 3 9349 4630
* ASAPWeb! on http://www.asap.unimelb.edu.au/
* ------->Recovering Science and Technology in Australia
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