Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Časově-řádová fylogenetická analýza× | Volání variant× | |
|---|---|---|
| Obor | Bioinformatika | Bioinformatika |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2000s (molecular clock methods earlier; BEAST framework 2007) | 2009–2010 (modern high-throughput era) |
| Tvůrce≠ | Alexei J. Drummond, Andrew Rambaut, and colleagues | Li et al. (SAMtools/bcftools, 2009); McKenna et al. (GATK, 2010) |
| Typ≠ | Evolutionary bioinformatics pipeline | Computational genomics pipeline |
| Původní zdroj≠ | Drummond, A. J., & Rambaut, A. (2007). BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evolutionary Biology, 7, 214. DOI ↗ | 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. DOI ↗ |
| Další názvy | temporal phylogenetics, time-resolved phylogenetics, molecular clock phylogenetics, phylodynamics | SNP calling, genotyping from sequencing, mutation detection, variant detection |
| Příbuzné | 6 | 6 |
| Shrnutí≠ | 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. |
| ScholarGateDatová sada ↗ |
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