Salīdzināt metodes

	Filoģenētiskā laika sēriju analīze	Filogenētiskā analīze
Nozare	Bioinformātika	Bioinformātika
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2000s (molecular clock methods earlier; BEAST framework 2007)	1960s-1981 (distance trees ~1967; ML framework formalised 1981)
Autors	Alexei J. Drummond, Andrew Rambaut, and colleagues	Joseph Felsenstein (maximum likelihood framework); Walter Fitch and Emanuel Margoliash (distance methods)
Tips	Evolutionary bioinformatics pipeline	Computational inference method
Pirmavots	Drummond, A. J., & Rambaut, A. (2007). BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evolutionary Biology, 7, 214.	Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates. ISBN: 978-0878931774
Citi nosaukumi	temporal phylogenetics, time-resolved phylogenetics, molecular clock phylogenetics, phylodynamics	molecular phylogenetics, phylogenetic inference, evolutionary tree reconstruction, phylogenomics
Saistītās	6	5
Kopsavilkums	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.