Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Байесовский филогенетический анализ× | Филогенетический анализ× | |
|---|---|---|
| Область | Биоинформатика | Биоинформатика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1996–2001 | 1960s-1981 (distance trees ~1967; ML framework formalised 1981) |
| Автор метода≠ | Rannala & Yang (1996); operationalized by Huelsenbeck et al. (MrBayes, 2001) | Joseph Felsenstein (maximum likelihood framework); Walter Fitch and Emanuel Margoliash (distance methods) |
| Тип≠ | Probabilistic inference method | Computational inference method |
| Основополагающий источник≠ | Ronquist, F., & Huelsenbeck, J. P. (2003). MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics, 19(12), 1572–1574. DOI ↗ | Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates. ISBN: 978-0878931774 |
| Другие названия | Bayesian phylogenetics, Bayesian inference of phylogeny, MCMC phylogenetics, Bayesian molecular phylogenetics | molecular phylogenetics, phylogenetic inference, evolutionary tree reconstruction, phylogenomics |
| Связанные≠ | 3 | 5 |
| Сводка≠ | Bayesian phylogenetic analysis uses Bayes' theorem and Markov chain Monte Carlo (MCMC) sampling to estimate the posterior probability distribution over phylogenetic trees and model parameters given observed sequence data. Unlike bootstrapped maximum-likelihood methods that return a single best tree, Bayesian inference yields a credible set of trees with associated posterior probabilities, providing a principled measure of phylogenetic uncertainty. It is the dominant framework for estimating divergence times and ancestral relationships in molecular evolution. | Phylogenetic analysis reconstructs the evolutionary history of organisms, genes, or proteins by comparing molecular sequence data and estimating the branching tree that best explains observed similarities and differences. Rooted in the work of Felsenstein and colleagues from the 1960s onward, it is a cornerstone technique in evolutionary biology, microbiology, epidemiology, and comparative genomics, supporting tasks from tracing viral outbreak origins to classifying novel species. |
| ScholarGateНабор данных ↗ |
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