Date of Award
2010
Document Type
Campus Access Thesis
Department
Mathematics
First Advisor
Eva Czabarka
Abstract
The problem of biological sequence comparison arises naturally in an attempt to explain many biological phenomena. Due to the combinatorial structure and pattern preserving properties of the sequences it attracted not only biologists, but also mathematicians, statisticians and computer scientists. In this work we study one of the most effective tools widely used for comparison of biological sequences - sequence alignment. We present the basic theory of sequence alignment from computational, biological, and statistical perspectives. We will also present and analyze results of computer simulation that effectively illustrates one possible application of this theory.
Rights
© 2010, Tatiana Orlova
Recommended Citation
Orlova, T.(2010). Mathematical Models, Algorithms, and Statistics of Sequence Alignment. (Master's thesis). Retrieved from https://scholarcommons.sc.edu/etd/384