Type of Document	Thesis
Author	Taylor, Misha
URN	etd-08282003-220740
Title	Developing a Bioniformatics Utility Belt to Eliminate Search Redundancy from the Ever-Growing Databases
Degree	Master of Science
Department	Computer Science, Department of
Advisory Committee	Advisor Name Title Robert van Engelen Committee Chair David Swofford Committee Member Steven M. Thompson Committee Member Theodore Baker Committee Member
Keywords	Biological Databases Bioinformatics
Date of Defense	2003-05-01
Availability	restricted
Abstract Biological databases are growing at an exponential rate. Designing algorithms to deal with the inherent redundancy in these databases which can cope with the overwhelming amount of data returned from similarity searches is an active area of research. This paper presents an overview of a real-world problem related to biological database searching, outlining how a human expert solves this problem. Then, several bioinformatics approaches are presented from the literature, forming a “utility belt” which might be used to solve the problem computationally.
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