ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

基于网络的系统发育分析×贝叶斯系统发育分析×
领域生物信息学生物信息学
方法族Process / pipelineProcess / pipeline
起源年份1992–2004 (foundational algorithms); broader development 1990s–2010s1996–2001
提出者Hans-Jürgen Bandelt & Andreas Dress (split decomposition); David Bryant & Vincent Moulton (Neighbor-Net)Rannala & Yang (1996); operationalized by Huelsenbeck et al. (MrBayes, 2001)
类型Computational phylogenetic methodProbabilistic inference method
开创性文献Bandelt, H.-J., & Dress, A. W. M. (1992). Split decomposition: A new and useful approach to phylogenetic analysis of distance data. Molecular Phylogenetics and Evolution, 1(3), 242–252. link ↗Ronquist, F., & Huelsenbeck, J. P. (2003). MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics, 19(12), 1572–1574. DOI ↗
别名phylogenetic network, reticulate phylogenetics, split network analysis, evolutionary network inferenceBayesian phylogenetics, Bayesian inference of phylogeny, MCMC phylogenetics, Bayesian molecular phylogenetics
相关63
摘要Network-based phylogenetic analysis constructs graph-structured representations of evolutionary relationships that explicitly accommodate reticulate events — including hybridization, horizontal gene transfer, recombination, and incomplete lineage sorting — which strictly bifurcating phylogenetic trees cannot represent. Instead of forcing sequences into a single bifurcating tree, the method infers splits or reticulations in the data and visualises them as a network, revealing conflicting phylogenetic signals that are biologically informative.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.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Network-based Phylogenetic Analysis · Bayesian Phylogenetic Analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare