The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
TreeTime: Maximum-likelihood phylodynamic analysis
Open accessAbstract
Mutations that accumulate in the genome of cells or viruses can be used to infer their evolutionary history. In the case of rapidly evolving organisms, genomes can reveal their detailed spatiotemporal spread. Such phylodynamic analyses are particularly useful to understand the epidemiology of rapidly evolving viral pathogens. As the number of genome sequences available for different pathogens has increased dramatically over the last years, phylodynamic analysis with traditional methods becomes challenging as these methods scale poorly with growing datasets. Here, we present TreeTime, a Python-based framework for phylodynamic analysis using an approximate Maximum Likelihood approach. TreeTime can estimate ancestral states, infer evolution models, reroot trees to maximize temporal signals, estimate molecular clock phylogenies and population size histories. The runtime of TreeTime scales linearly with dataset size.
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Cites
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
Relaxed Phylogenetics and Dating with Confidence
Drummond, A. J., Ho, S. Y. W., Phillips, M. J., & Rambaut, A. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040088 · Cited by 6,463 · cited 2×
“Models that allow for clock-rate variation have been proposed (Drummond et al. , 2006; Hasegawa et al. , 1989; Yoder and Yang, 2000).”
BackgroundEvolutionary divergence and convergence in proteins.
ZUCKERKANDL, E., & PAULING, L. (1965) · Evolving Genes and Proteins · doi:10.1016/b978-1-4832-2734-4.50017-6 · Cited by 3,020
Sanderson, M. J. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.2.301 · Cited by 1,906
Estimating the rate of evolution of the rate of molecular evolution
Thorne, J. L., Kishino, H., & Painter, I. S. (1998) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a025892 · Cited by 1,317 · cited 1×
“These models typically regularize the clock-rate through a prior and penalize rapid changes of the rate by coupling the rate along branches – known as autocorrelated or local molecular clock (Aris-Brosou et al. , 2002; Thorne et al. , 1998).”
BackgroundEstimation of primate speciation dates using local molecular clocks.
Yoder, A. D., & Yang, Z. (2000) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a026389 · Cited by 494
Rambaut, A. (2000) · Bioinformatics · doi:10.1093/bioinformatics/16.4.395 · Cited by 418
Aris-Brosou, S., & Yang, Z. (2002) · Systematic Biology · doi:10.1080/10635150290102375 · Cited by 230 · cited 1×
“These models typically regularize the clock-rate through a prior and penalize rapid changes of the rate by coupling the rate along branches – known as autocorrelated or local molecular clock (Aris-Brosou et al. , 2002; Thorne et al. , 1998).”
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Cited by
Nextstrain: real-time tracking of pathogen evolution
Hadfield, J., Megill, C., Bell, S. M., Huddleston, J., Potter, B., Callender, C., Sagulenko, P., Bedford, T., & Neher, R. A. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty407 · Cited by 3,154
Self-citationSpread of a SARS-CoV-2 variant through Europe in the summer of 2020
Hodcroft, E. B., Zuber, M., Nadeau, S., Vaughan, T. G., Crawford, K. H. D., Althaus, C. L., Reichmuth, M. L., Bowen, J. E., Walls, A. C., Corti, D., et al. (2021) · Nature · doi:10.1038/s41586-021-03677-y · Cited by 425
Self-citationSixteen novel lineages of SARS-CoV-2 in South Africa
Tegally, H., Wilkinson, E., Lessells, R. J., Giandhari, J., Pillay, S., Msomi, N., Mlisana, K., Bhiman, J. N., von Gottberg, A., Walaza, S., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01255-3 · Cited by 349
Off-season RSV epidemics in Australia after easing of COVID-19 restrictions
Eden, J.-S., Sikazwe, C., Xie, R., Deng, Y.-M., Sullivan, S. G., Michie, A., Levy, A., Cutmore, E., Blyth, C. C., Britton, P. N., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30485-3 · Cited by 340
Rockett, R. J., Arnott, A., Lam, C., Sadsad, R., Timms, V., Gray, K.-A., Eden, J.-S., Chang, S., Gall, M., Draper, J., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1000-7 · Cited by 325
Metadata
- Authors
- Sagulenko, P., Puller, V., & Neher, R. A.
- Venue
- Virus Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-01-01
- Volume
- 4
- Issue
- 1
- Pages
- vex042-vex042
- ISSN
- 2057-1577 (ISSN-L)
- OpenAlex
- W2951878836
- Cited by
- 1,186
- References
- 8
- FWCI
- 13.39
- Type
- journal article
- Language
- en
- Open access
- gold
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