Masters Theses

Keywords and Phrases

ESTminer; Negative selection pattern (NSP)

Abstract

"Current gene identification (GI) techniques typically rely on matching biological or chemical properties of specific genes, specific species, specific ecotypes, etc...In this thesis, a new automated GI technique is proposed, and compared against another computer-based technique proposed earlier. Both methods utilize EST data available from NCBI databases to discover previously unknown genes. The newly proposed method identifies one gene family at a time and is based on a distinctive negative selection pattern (NSP) of differences, which is seen between the coding regions of gene family members. The other technique, called ESTminer, attempts genome-wide gene family identification for any organism, by detecting single nucleotide polymorphisms between potential family members. In this thesis, a complete automated analysis of both techniques is presented"--Abstract, page iii.

Advisor(s)

Erçal, Fikret
Frank, Ronald L.

Committee Member(s)

Leopold, Jennifer

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Publisher

University of Missouri--Rolla

Publication Date

Fall 2007

Pagination

vii, 37 pages

Note about bibliography

Includes bibliographical references (pages 131-136).

Rights

© 2007 Cyriac Kandoth, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Bioinformatics
Genes -- Identification

Thesis Number

T 9310

Print OCLC #

235548694

Electronic OCLC #

191848444

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