Entropy and information approaches to genetic diversity and its expression: genomic geography
type: Item
instance of: scholarly article
title: Entropy and information approaches to genetic diversity and its expression: genomic geography
zbMATH Open document ID: 1229.92063
author: William B. Sherwin
published in: Entropy
publication date: 2012-01-09T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 92D10
Mathematics Subject Classification ID: 94A17
Mathematics Subject Classification ID: 92C40
zbMATH DE Number: 5995891
zbMATH Keywords: entropy
zbMATH Keywords: information
zbMATH Keywords: genes
zbMATH Keywords: DNA sequence
zbMATH Keywords: subdivision
zbMATH Keywords: dispersal
zbMATH Keywords: migration
zbMATH Keywords: natural selection
zbMATH Keywords: genome-wide association studies
zbMATH Keywords: linkage disequilibrium
zbMATH Keywords: gene expression
zbMATH Keywords: gene regulation
zbMATH Keywords: disease phenotypes
describes a project that uses: SPSS
describes a project that uses: GenAlEx
describes a project that uses: TETRASAT
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.3390/e12071765
OpenAlex ID: W2151376060
Wikidata QID: Q112767059
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DOI: 10.3390/E12071765
description: scientific article; zbMATH DE number 5995891