Computational analysis of epigenetic information in human DNA sequences

Raghavan, Karthika, Ruskin, Heather J, & Perrin, Dimitri (2011) Computational analysis of epigenetic information in human DNA sequences. In International Proceedings of Chemical, Biological and Environmental Engineering, Singapore, pp. 383-387.

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Over the last few years, investigations of human epigenetic profiles have identified key elements of change to be Histone Modifications, stable and heritable DNA methylation and Chromatin remodeling. These factors determine gene expression levels and characterise conditions leading to disease. In order to extract information embedded in long DNA sequences, data mining and pattern recognition tools are widely used, but efforts have been limited to date with respect to analyzing epigenetic changes, and their role as catalysts in disease onset. Useful insight, however, can be gained by investigation of associated dinucleotide distributions. The focus of this paper is to explore specific dinucleotides frequencies across defined regions within the human genome, and to identify new patterns between epigenetic mechanisms and DNA content. Signal processing methods, including Fourier and Wavelet Transformations, are employed and principal results are reported.

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ID Code: 82669
Item Type: Conference Paper
Refereed: Yes
ISSN: 2010-4618
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2008-2015 International Proceedings of Chemical, Biological and Environmental Engineering.
Deposited On: 10 Apr 2015 02:04
Last Modified: 13 Apr 2015 03:04

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