Mutual information for examining correlations in DNA

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dc.creatorBerryman, Matthew J.
dc.creatorAllison, Andrew
dc.creatorAbbott, Derek
dc.date2004-04-07
dc.date.accessioned2026-07-07T05:58:22Z
dc.date.available2026-07-07T05:58:22Z
dc.descriptionThis 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.
dc.description8 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/q-bio/0404010
dc.identifierhttp://arxiv.org/abs/q-bio/0404010
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/88328
dc.subjectPopulations and Evolution
dc.titleMutual information for examining correlations in DNA
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