Usporedite metode

	Vremenska filogenetska analiza	Pozivanje varijanti
Područje	Bioinformatika	Bioinformatika
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	2000s (molecular clock methods earlier; BEAST framework 2007)	2009–2010 (modern high-throughput era)
Tvorac	Alexei J. Drummond, Andrew Rambaut, and colleagues	Li et al. (SAMtools/bcftools, 2009); McKenna et al. (GATK, 2010)
Vrsta	Evolutionary bioinformatics pipeline	Computational genomics pipeline
Temeljni izvor	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.
Drugi nazivi	temporal phylogenetics, time-resolved phylogenetics, molecular clock phylogenetics, phylodynamics	SNP calling, genotyping from sequencing, mutation detection, variant detection
Srodne	6	6
Sažetak	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.