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Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates

Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5066065

Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates

About this item

Full title

Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates

Publisher

England: Oxford University Press

Journal title

Systematic biology, 2016-11, Vol.65 (6), p.1041-1056

Language

English

Formats

Publication information

Publisher

England: Oxford University Press

More information

Scope and Contents

Contents

Effective population size characterizes the genetic variability in a population and is a parameter of paramount importance in population genetics and evolutionary biology. Kingman's coalescent process enables inference of past population dynamics directly from molecular sequence data, and researchers have developed a number of flexible coalescent-b...

Alternative Titles

Full title

Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5066065

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5066065

Other Identifiers

ISSN

1063-5157

E-ISSN

1076-836X

DOI

10.1093/sysbio/syw050

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