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BISC The Electrical
Engineering and Computer Sciences Department |
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BISC
SIG in Computational Intelligence for Bioinformatics Bioinformatics
is the area of science concerned with the application of computational
methods to problems in biology, that include analysis, modeling and discovery
from biological and medical data (e.g. genetic-, proteomic-, clinical).
Bioinformatics is a symbiosis of several areas of science: biological
sciences and molecular biology in particular, bio-chemistry, medicine,
pharmacy, mathematics, physics, computer and information science,
engineering. DNA
encodes the basic blue print of life; however it is not known how to
interpret most of this information. The volume of data produced in
bioinformatics increases exponentially with time and that requires powerful
and intelligent methods to deal with this vast amount of information. To
address this issue the BISC-Special Interest Group in Computational
Intelligence and Bioinformatics is formed. This SIG is concerned with the
application of the methods of computational intelligence to the analysis,
modeling and knowledge discovery in bioinformatics and to the development of
new methods and systems for solving various challenging problems in the
specified area. The methods of computational intelligence include methods of
artificial intelligence, neural networks, fuzzy logic, evolutionary
algorithms, methods for data mining, statistical methods and chaos analysis,
algebraic methods and finite automata, and combination of them. The
BISC-SIG-CIBI's focus is to take advantage of the
wealth of new information and develop new techniques and methodology for
intelligent information analysis, knowledge management and knowledge
discovery and rule-based reasoning in an environment that is imprecise,
uncertain, complex and not known to our knowledge as of today. These tools
include computational methods for the identification of functional elements
in complex genomes and the identification of patterns in large datasets (for
example, microarray data). The program also
supports development of intelligent search engine and query engine with
deductive capability and reasoning that can be widely shared among different
databases in order to facilitate intelligent information retrieval from
genomes databases and DNA sequences. These bioinformatics resources will
allow the scientific community efficient access to genomic data, which will enable
new types of analyses for the computer modeling and experimental validation
of the complex genome networks that ultimately determine the causes of many
human diseases. We believe that the information and knowledge extracted from
such system-wide analyses using the computational intelligence will
fundamentally alter the way of our life The
SIG is aiming at integrating efforts of biologists and computer scientists,
graduate students and practitioners, who are interested in making progress
both in terms of solving practical problems in bioinformatics and improving
the existing computational techniques. Optimized for Web browsers Version 5+. |
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Fuzzy Set: 1965 … Fuzzy Logic: 1973 … BISC: 1990 …
Human-Machine Perception: 2000 - … |
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