The Berkeley Initiative in Soft Computing

Electrical Engineering and Computer Sciences Department


Welcome to the BISC Program


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.



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Fuzzy Set: 1965 Fuzzy Logic: 1973 BISC: 1990 Human-Machine Perception: 2000 -