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. / A Thesis submitted to the Department of Computer Science in partial fulfillment of
the requirements for the degree of Master of Science. / Degree Awarded: Spring Semester, 2003. / Date of Defense: April 1, 2003. / Biological Databases, Bioinformatics / Includes bibliographical references. / Robert van Engelen, Professor Directing Thesis; David Swofford, Committee Member; Theodore Baker, Committee Member; Steven M. Thompson, Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_168475 |
| Contributors | Taylor, Misha (authoraut), Engelen, Robert van (professor directing thesis), Swofford, David (committee member), Baker, Theodore (committee member), Thompson, Steven M. (committee member), Department of Computer Science (degree granting department), Florida State University (degree granting institution) |
| Publisher | Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text |
| Format | 1 online resource, computer, application/pdf |
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