Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Байесовский филогенетический анализ× | Выравнивание последовательностей× | |
|---|---|---|
| Область | Биоинформатика | Биоинформатика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1996–2001 | 1970 (global alignment); 1981 (local alignment) |
| Автор метода≠ | Rannala & Yang (1996); operationalized by Huelsenbeck et al. (MrBayes, 2001) | Saul B. Needleman & Christian D. Wunsch (global); Temple F. Smith & Michael S. Waterman (local) |
| Тип≠ | Probabilistic inference method | Computational sequence analysis technique |
| Основополагающий источник≠ | Ronquist, F., & Huelsenbeck, J. P. (2003). MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics, 19(12), 1572–1574. DOI ↗ | Needleman, S. B., & Wunsch, C. D. (1970). A general method applicable to the search for similarities in the amino acid sequence of two proteins. Journal of Molecular Biology, 48(3), 443–453. DOI ↗ |
| Другие названия | Bayesian phylogenetics, Bayesian inference of phylogeny, MCMC phylogenetics, Bayesian molecular phylogenetics | pairwise alignment, multiple sequence alignment, MSA, sequence comparison |
| Связанные≠ | 3 | 6 |
| 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. | Sequence alignment is a foundational bioinformatics technique that arranges two or more DNA, RNA, or protein sequences to reveal regions of similarity, infer evolutionary relationships, identify functional domains, and map sequencing reads to reference genomes. It underpins virtually every downstream genomic analysis, from variant calling and gene expression quantification to phylogenetics and structural annotation. |
| ScholarGateНабор данных ↗ |
|
|