Author

Zhuo Chen

Date of Award

2004

Document Type

Project

Degree Name

Master of Science in Computer Science

Department

School of Computer Science and Engineering

Abstract

Sequence similarity searching is commonly used to help clarify the biochemical and physiological features of newly discovered genes or proteins. An efficient similarity search relies on the choice of tools and their associated subprograms and numerous parameter settings. To assist researchers in selecting optimal programs and parameter settings for efficient sequence similarity searches, the web-based expert system, Smart Sequence Similarity Search (S4) was developed.

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