Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models.
An importance sampling algorithm for computing the likelihood of a sample of genes at loci under a stepwise mutation model in a subdivided population is developed. This allows maximum likelihood estimation of migration rates between subpopulations. The time to the most recent common ancestor of the...
| Main Authors: | , , , |
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| Format: | Journal article |
| Jezik: | English |
| Izdano: |
2005
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| _version_ | 1826295426931752960 |
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| author | De Iorio, M Griffiths, R Leblois, R Rousset, F |
| author_facet | De Iorio, M Griffiths, R Leblois, R Rousset, F |
| author_sort | De Iorio, M |
| collection | OXFORD |
| description | An importance sampling algorithm for computing the likelihood of a sample of genes at loci under a stepwise mutation model in a subdivided population is developed. This allows maximum likelihood estimation of migration rates between subpopulations. The time to the most recent common ancestor of the sample can also be computed. The technique is illustrated by an analysis of a data set of Australian red fox populations. |
| first_indexed | 2024-03-07T04:00:52Z |
| format | Journal article |
| id | oxford-uuid:c48b19a6-bd5e-436e-b308-db5bd315d3b7 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T04:00:52Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | oxford-uuid:c48b19a6-bd5e-436e-b308-db5bd315d3b72022-03-27T06:24:05ZStepwise mutation likelihood computation by sequential importance sampling in subdivided population models.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c48b19a6-bd5e-436e-b308-db5bd315d3b7EnglishSymplectic Elements at Oxford2005De Iorio, MGriffiths, RLeblois, RRousset, FAn importance sampling algorithm for computing the likelihood of a sample of genes at loci under a stepwise mutation model in a subdivided population is developed. This allows maximum likelihood estimation of migration rates between subpopulations. The time to the most recent common ancestor of the sample can also be computed. The technique is illustrated by an analysis of a data set of Australian red fox populations. |
| spellingShingle | De Iorio, M Griffiths, R Leblois, R Rousset, F Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models. |
| title | Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models. |
| title_full | Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models. |
| title_fullStr | Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models. |
| title_full_unstemmed | Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models. |
| title_short | Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models. |
| title_sort | stepwise mutation likelihood computation by sequential importance sampling in subdivided population models |
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