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Online Bayesian Phylodynamic Inference in BEAST with Application to Epidemic Reconstruction
Reconstructing pathogen dynamics from genetic data as they become available during an outbreak or epidemic represents an important statistical scenario in which observations arrive sequentially in time and one is interested in performing inference in an “online” fashion. Widely used Bayesian phyloge...
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| 出版年: | Mol Biol Evol |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7253210/ https://ncbi.nlm.nih.gov/pubmed/32101295 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/molbev/msaa047 |
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