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
BioinformaticsGenes -- Identification
Thesis Number
T 9310
Print OCLC #
235548694
Electronic OCLC #
191848444
Recommended Citation
Kandoth, Cyriac, "A quantitative study of gene identification techniques based on evolutionary rationales" (2007). Masters Theses. 4586.
https://scholarsmine.mst.edu/masters_theses/4586