Recent advances in Bayesian inference of isolation-with-migration models
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, r...
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BioMed Central
2019-11-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2019-17-4-e37.pdf |
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| _version_ | 1832574230206611456 |
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| author | Yujin Chung |
| author_facet | Yujin Chung |
| author_sort | Yujin Chung |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6bc24e508d934950a1659b3774966faa |
| institution | Kabale University |
| issn | 2234-0742 |
| language | English |
| publishDate | 2019-11-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-6bc24e508d934950a1659b3774966faa2025-02-02T00:26:08ZengBioMed CentralGenomics & Informatics2234-07422019-11-0117410.5808/GI.2019.17.4.e37581Recent advances in Bayesian inference of isolation-with-migration modelsYujin Chung0 Department of Applied Statistics, Kyonggi University, Suwon 16227, KoreaIsolation-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.http://genominfo.org/upload/pdf/gi-2019-17-4-e37.pdfbayesian analysiscoalescent theorygene flowisolation-with-migration modelphylogeny |
| spellingShingle | Yujin Chung Recent advances in Bayesian inference of isolation-with-migration models Genomics & Informatics bayesian analysis coalescent theory gene flow isolation-with-migration model phylogeny |
| title | Recent advances in Bayesian inference of isolation-with-migration models |
| title_full | Recent advances in Bayesian inference of isolation-with-migration models |
| title_fullStr | Recent advances in Bayesian inference of isolation-with-migration models |
| title_full_unstemmed | Recent advances in Bayesian inference of isolation-with-migration models |
| title_short | Recent advances in Bayesian inference of isolation-with-migration models |
| title_sort | recent advances in bayesian inference of isolation with migration models |
| topic | bayesian analysis coalescent theory gene flow isolation-with-migration model phylogeny |
| url | http://genominfo.org/upload/pdf/gi-2019-17-4-e37.pdf |
| work_keys_str_mv | AT yujinchung recentadvancesinbayesianinferenceofisolationwithmigrationmodels |