Mathematical Models, Algorithms, and Statistics of Sequence Alignment

<p>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.</p>

Name thesis:degree_name

M.S.

Level thesis:degree_level

Campus Access Thesis

Discipline thesis:degree_discipline

Mathematics

Year

2010

Author dc:creator

• Orlova, Tatiana

Contributors dc:contributor

• Eva Czabarka

• Mathematics
• Physical Sciences and Mathematics
• sequence alignment

Statement dc:rights

• © 2010, Tatiana Orlova

Repository record dc:identifier

https://scholarcommons.sc.edu/etd/384

OAI identifier oai:identifier

oai:scholarcommons.sc.edu:etd-1385