方法对比
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| 时间序列系统发育分析× | 系统发育分析× | |
|---|---|---|
| 领域 | 生物信息学 | 生物信息学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2000s (molecular clock methods earlier; BEAST framework 2007) | 1960s-1981 (distance trees ~1967; ML framework formalised 1981) |
| 提出者≠ | Alexei J. Drummond, Andrew Rambaut, and colleagues | Joseph Felsenstein (maximum likelihood framework); Walter Fitch and Emanuel Margoliash (distance methods) |
| 类型≠ | Evolutionary bioinformatics pipeline | Computational inference method |
| 开创性文献≠ | Drummond, A. J., & Rambaut, A. (2007). BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evolutionary Biology, 7, 214. DOI ↗ | Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates. ISBN: 978-0878931774 |
| 别名 | temporal phylogenetics, time-resolved phylogenetics, molecular clock phylogenetics, phylodynamics | molecular phylogenetics, phylogenetic inference, evolutionary tree reconstruction, phylogenomics |
| 相关≠ | 6 | 5 |
| 摘要≠ | Time-series phylogenetic analysis reconstructs the evolutionary history of organisms or genetic variants using sequences sampled at known time points. By incorporating sampling dates directly into the model, it estimates divergence times, substitution rates, and ancestral relationships on an absolute timescale — making it essential for studying viral outbreaks, ancient DNA dynamics, and rapid microbial 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. |
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