Mutual information for examining correlations in DNA

Details Mutual information for examining correlations in DNA Mutual information for examining correlations in DNA

2004-04-07

arxiv.org/abs/q-bio/0404010v1

Biology

Quantitative Biology

Populations and Evolution

8 pages, 3 figures

Scientific paper

This paper examines two methods for finding whether long-range correlations exist in DNA: a fractal measure and a mutual information technique. We evaluate the performance and implications of these methods in detail. In particular we explore their use comparing DNA sequences from a variety of sources. Using software for performing in silico mutations, we also consider evolutionary events leading to long range correlations and analyse these correlations using the techniques presented. Comparisons are made between these virtual sequences, randomly generated sequences, and real sequences. We also explore correlations in chromosomes from different species.

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