Сравнение методов

	Временной филогенетический анализ	Вызов вариантов
Область	Биоинформатика	Биоинформатика
Семейство	Process / pipeline	Process / pipeline
Год появления	2000s (molecular clock methods earlier; BEAST framework 2007)	2009–2010 (modern high-throughput era)
Автор метода	Alexei J. Drummond, Andrew Rambaut, and colleagues	Li et al. (SAMtools/bcftools, 2009); McKenna et al. (GATK, 2010)
Тип	Evolutionary bioinformatics pipeline	Computational genomics pipeline
Основополагающий источник	Drummond, A. J., & Rambaut, A. (2007). BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evolutionary Biology, 7, 214.	McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., ... & DePristo, M. A. (2010). The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Research, 20(9), 1297–1303.
Другие названия	temporal phylogenetics, time-resolved phylogenetics, molecular clock phylogenetics, phylodynamics	SNP calling, genotyping from sequencing, mutation detection, variant detection
Связанные	6	6
Сводка	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.	Variant calling is the computational process of identifying positions in a sequenced genome that differ from a reference sequence — including single nucleotide polymorphisms (SNPs), small insertions and deletions (indels), and structural variants. It transforms aligned sequencing reads into an interpretable catalogue of genetic differences, forming the foundation for population genetics, disease-gene discovery, and clinical genomics applications.