Comparative sequence analysis to identify functional elements for functional genomics

Budak, Hikmet and Yavuz, Y. F. (2005) Comparative sequence analysis to identify functional elements for functional genomics. In: International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS 05), Las Vegas, Nevada, USA

Full text not available from this repository. (Request a copy)


Comparative sequence analysis is a powerful approach to identify functional elements for functional genomics. For gene prediction, this would mean whether given genomic sequences exhibit significant similarity to some arbitrary region in the genome sequence of an evolutionary related organism or not. Three gene prediction methods were examined to see how they perform on randomly chosen sequences. The focus was on examining the methods rather than data analysis. Thus, the dataset was selected in a flexible manner and may be biased. Our analysis of methods indicated that there are not many differences between recent version of GENEMARK.HMM and GENSCAN in terms of the algorithm used. Both programs use duration HMM and can predict genes and exons on both DNA strands simultaneously. MZEF, on the other hand, uses completely different approach. It employs quadratic discriminant function to distinguish between coding and noncoding regions. The analysis showed that the new generation of programs has substantially better results than the programs analyzed in previous studies. Specifically, GENEMARK.HMM and GENSCAN performed relatively better than MZEF.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: gene prediction methods; genome sequences analysis; genomic region comparison
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Hikmet Budak
Date Deposited: 26 Sep 2005 03:00
Last Modified: 26 Apr 2022 08:34

Actions (login required)

View Item
View Item