Entropy 2010, 12(7), 1765-1798; doi:10.3390/e12071765
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Entropy and Information Approaches to Genetic Diversity and its Expression: Genomic Geography

Evolution and Ecology Research Centre, School of Biological Earth and Environmental Science, University of New South Wales, Sydney, NSW 2052, Australia
Received: 1 April 2010; in revised form: 20 June 2010 / Accepted: 28 June 2010 / Published: 15 July 2010
(This article belongs to the Special Issue Entropy in Genetics and Computational Biology)
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Abstract: This article highlights advantages of entropy-based genetic diversity measures, at levels from gene expression to landscapes. Shannon’s entropy-based diversity is the standard for ecological communities. The exponentials of Shannon’s and the related “mutual information” excel in their ability to express diversity intuitively, and provide a generalised method of considering microscopic behaviour to make macroscopic predictions, under given conditions. The hierarchical nature of entropy and information allows integrated modeling of diversity along one DNA sequence, and between different sequences within and among populations, species, etc. The aim is to identify the formal connections between genetic diversity and the flow of information to and from the environment.
Keywords: entropy; information; genes; DNA sequence; subdivision; dispersal; migration; natural selection; genome-wide association studies; linkage disequilibrium; gene expression; gene regulation; disease phenotypes

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MDPI and ACS Style

Sherwin, W.B. Entropy and Information Approaches to Genetic Diversity and its Expression: Genomic Geography. Entropy 2010, 12, 1765-1798.

AMA Style

Sherwin WB. Entropy and Information Approaches to Genetic Diversity and its Expression: Genomic Geography. Entropy. 2010; 12(7):1765-1798.

Chicago/Turabian Style

Sherwin, William B. 2010. "Entropy and Information Approaches to Genetic Diversity and its Expression: Genomic Geography." Entropy 12, no. 7: 1765-1798.

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