DocumentCode :
2413664
Title :
Correlating CpG islands, motifs, and sequence variants in human chromosome 21
Author :
Spontaneo, Leah ; Cercone, Nick
Author_Institution :
Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
fYear :
2010
fDate :
18-21 Dec. 2010
Firstpage :
319
Lastpage :
322
Abstract :
CpG islands are important regions in DNA. They usually appear at the 5´ end of genes containing GC-rich dinucleotides. When DNA methylation occurs, gene regulation is affected and it sometimes leads to carcinogenesis. We propose a new detection program using a hidden Markov model alongside the Viterbi algorithm. Our solution provides a graphical user interface not seen in many of the other CGI detection programs and we unify the detection and analysis under one program to allow researchers to scan a genetic sequence, detect the significant CGIs, and analyze the sequence once the scan is complete for any noteworthy findings. Using human chromosome 21, we run an analysis on a dataset of promoters and discover that the characteristics of methylated and unmethylated CGIs are significantly different. Finally, we detected significantly different motifs between methylated and unmethylated CGI promoters using MEME and MAST.
Keywords :
DNA; biology computing; cancer; dynamic programming; genetics; graphical user interfaces; hidden Markov models; molecular biophysics; molecular configurations; pattern recognition; CGI detection programs; CpG island correlation; DNA methylation; GC-rich dinucleotides; MAST; MEME; Viterbi algorithm; carcinogenesis; gene regulation; genetic sequence scanning; graphical user interface; hidden Markov model; human chromosome 21; methylated CGI characteristics; motif correlation; sequence variant correlation; Bioinformatics; Cancer; DNA; Genomics; Hidden Markov models; Humans;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-8306-8
Electronic_ISBN :
978-1-4244-8307-5
Type :
conf
DOI :
10.1109/BIBM.2010.5706584
Filename :
5706584
Link To Document :
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