DocumentCode
2495985
Title
Identification of CpG islands in DNA sequences using matched filters
Author
Kakumani, Rajasekhar ; Ahmad, M. Omair ; Devabhaktuni, Vijay
Author_Institution
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
6029
Lastpage
6032
Abstract
CpG islands (CGIs), rich in CG dinucleotides, are usually located in the promoter regions of genes in DNA sequences and are used as gene markers. Identification of CGIs plays an important role in the analysis of DNA sequences. In this paper, we propose a new digital signal processing (DSP) based approach using matched filters for the identification of CGIs. We also formulate a new/reliable CGI identification characteristic replacing the several existing probability transition tables for CGIs and non-CGIs. The peaks in matched filter output, obtained by correlating the CGI characteristic with the DNA sequence to be analyzed, accurately and reliably identify CGIs. This approach is tested on a number of DNA sequences and is proved to be capable of identifying CpG islands efficiently and reliably.
Keywords
DNA; genetics; matched filters; medical signal processing; molecular biophysics; probability; CpG islands; DNA sequences; digital signal processing; matched filters; probability transition tables; Computational modeling; DNA; Digital signal processing; IIR filters; Low pass filters; Markov processes; Matched filters; Algorithms; Base Sequence; CpG Islands; DNA; Molecular Sequence Data; Sequence Analysis, DNA;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6091490
Filename
6091490
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