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Sherwin, William B.

Entropy and information approaches to genetic diversity and its expression: genomic geography. (English) Zbl 1229.92063

Entropy 12, No. 7, 1765-1798 (2010).
Summary: We highlight 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.

Cited in 2 Documents

MSC:

92D10 Genetics and epigenetics
94A17 Measures of information, entropy
92C40 Biochemistry, molecular biology

Keywords:

entropy; information; genes; DNA sequence; subdivision; dispersal; migration; natural selection; genome-wide association studies; linkage disequilibrium; gene expression; gene regulation; disease phenotypes

Software:

TETRASAT; GenAlEx; SPSS
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\textit{W. B. Sherwin}, Entropy 12, No. 7, 1765--1798 (2010; Zbl 1229.92063)
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