Genomics Inform.  2019 Dec;17(4):e37. 10.5808/GI.2019.17.4.e37.

Recent advances in Bayesian inference of isolation-with-migration models

Affiliations
  • 1Department of Applied Statistics, Kyonggi University, Suwon 16227, Korea. yujinchung@kgu.ac.kr

Abstract

Isolation-with-migration (IM) models have become popular for explaining population divergence in the presence of migrations. Bayesian methods are commonly used to estimate IM models, but they are limited to small data analysis or simple model inference. Recently three methods, IMa3, MIST, and AIM, resolved these limitations. Here, we describe the major problems addressed by these three software and compare differences among their inference methods, despite their use of the same standard likelihood function.

Keyword

bayesian analysis; coalescent theory; gene flow; isolation-with-migration model; phylogeny

MeSH Terms

Bayes Theorem
Gene Flow
Likelihood Functions
Phylogeny
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