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
Link To Document :
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