EPSRC Network on Evolvability in Biology & Software Systems

Evolvability, Genetics & Development in Natural and Constructed Systems: Abstracts of the EPSRC Evolvability Network Symposium

Tewin Bury Farm Hotel, Hertfordshire, England, UK
26-28 August 2003


University of Hertfordshire Computer Science Technical Report 389
C. L. Nehaniv, P. J. Bentley & S. Kumar (Editors)

A Statistical Approach to Estimate Different Evolution and Functional Genomic Regions

A Statistical Approach to Estimate Different Evolution and Functional Genomic Regions

IRINA ABNIZOVA

Biocomputation Research Laboratory
Science and Technology Research Centre
University of Hertforshire
College Lane
Hatfield, Hertfordshire AL10 9AB
U.K.

I.Abnizova@herts.ac.uk


We suggest to approach the study of sequence evolution and functioning by looking at statistical properties of the DNA sequence. It is known that different evolution and functional genome patterns are reflected in the different conservation levels of different DNA regions, these conservation levels are obtained with cross genome comparison. In particular, we measure short and long range correlation properties of DNA sequence. We estimate a few of these statistical parameters in order to distinguish between different functional and evolution regions in genome sequence, focusing on regulatory non coding region.

Among statistical tools there are well known methods such as random walk analyses, probabilistic segmentation based on Jensen-Shannon divergence and information entropy functions, as well as our recently developed Markovian analysis. It is shown that integrative applying of these mutually consistent methods allows to distinguish putative regulatory regions in genomic DNA.