199 related articles for article (PubMed ID: 36860641)
1. Impact and mitigation of sampling bias to determine viral spread: Evaluating discrete phylogeography through CTMC modeling and structured coalescent model approximations.
Layan M; Müller NF; Dellicour S; De Maio N; Bourhy H; Cauchemez S; Baele G
Virus Evol; 2023; 9(1):vead010. PubMed ID: 36860641
[TBL] [Abstract][Full Text] [Related]
2. New Routes to Phylogeography: A Bayesian Structured Coalescent Approximation.
De Maio N; Wu CH; O'Reilly KM; Wilson D
PLoS Genet; 2015 Aug; 11(8):e1005421. PubMed ID: 26267488
[TBL] [Abstract][Full Text] [Related]
3. MASCOT-Skyline integrates population and migration dynamics to enhance phylogeographic reconstructions.
Müller NF; Bouckaert RR; Wu CH; Bedford T
bioRxiv; 2024 Mar; ():. PubMed ID: 38496513
[TBL] [Abstract][Full Text] [Related]
4. The impact of sampling bias on viral phylogeographic reconstruction.
Liu P; Song Y; Colijn C; MacPherson A
PLOS Glob Public Health; 2022; 2(9):e0000577. PubMed ID: 36962555
[TBL] [Abstract][Full Text] [Related]
5. The Structured Coalescent and Its Approximations.
Müller NF; Rasmussen DA; Stadler T
Mol Biol Evol; 2017 Nov; 34(11):2970-2981. PubMed ID: 28666382
[TBL] [Abstract][Full Text] [Related]
6. Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates.
Gill MS; Lemey P; Bennett SN; Biek R; Suchard MA
Syst Biol; 2016 Nov; 65(6):1041-1056. PubMed ID: 27368344
[TBL] [Abstract][Full Text] [Related]
7. Accommodating individual travel history, global mobility, and unsampled diversity in phylogeography: a SARS-CoV-2 case study.
Lemey P; Hong S; Hill V; Baele G; Poletto C; Colizza V; O'Toole Á; McCrone JT; Andersen KG; Worobey M; Nelson MI; Rambaut A; Suchard MA
bioRxiv; 2020 Jun; ():. PubMed ID: 32596695
[TBL] [Abstract][Full Text] [Related]
8. Bayesian Phylogeographic Analysis Incorporating Predictors and Individual Travel Histories in BEAST.
Hong SL; Lemey P; Suchard MA; Baele G
Curr Protoc; 2021 Apr; 1(4):e98. PubMed ID: 33836121
[TBL] [Abstract][Full Text] [Related]
9. MASCOT: parameter and state inference under the marginal structured coalescent approximation.
Müller NF; Rasmussen D; Stadler T
Bioinformatics; 2018 Nov; 34(22):3843-3848. PubMed ID: 29790921
[TBL] [Abstract][Full Text] [Related]
10. Using phylogeographic approaches to analyse the dispersal history, velocity and direction of viral lineages - Application to rabies virus spread in Iran.
Dellicour S; Troupin C; Jahanbakhsh F; Salama A; Massoudi S; Moghaddam MK; Baele G; Lemey P; Gholami A; Bourhy H
Mol Ecol; 2019 Sep; 28(18):4335-4350. PubMed ID: 31535448
[TBL] [Abstract][Full Text] [Related]
11. Estimating population parameters using the structured serial coalescent with Bayesian MCMC inference when some demes are hidden.
Ewing G; Rodrigo A
Evol Bioinform Online; 2007 Feb; 2():227-35. PubMed ID: 19455215
[TBL] [Abstract][Full Text] [Related]
12. Sampling bias and model choice in continuous phylogeography: Getting lost on a random walk.
Kalkauskas A; Perron U; Sun Y; Goldman N; Baele G; Guindon S; De Maio N
PLoS Comput Biol; 2021 Jan; 17(1):e1008561. PubMed ID: 33406072
[TBL] [Abstract][Full Text] [Related]
13. Conceptualizing a Novel Quasi-Continuous Bayesian Phylogeographic Framework for Spatiotemporal Hypothesis Testing.
Magee D; Scotch M
AMIA Jt Summits Transl Sci Proc; 2015; 2015():212-6. PubMed ID: 26306274
[TBL] [Abstract][Full Text] [Related]
14. Using Viral Gene Sequences to Compare and Explain the Heterogeneous Spatial Dynamics of Virus Epidemics.
Dellicour S; Rose R; Faria NR; Vieira LFP; Bourhy H; Gilbert M; Lemey P; Pybus OG
Mol Biol Evol; 2017 Oct; 34(10):2563-2571. PubMed ID: 28651357
[TBL] [Abstract][Full Text] [Related]
15. Random-effects substitution models for phylogenetics via scalable gradient approximations.
Magee AF; Holbrook AJ; Pekar JE; Caviedes-Solis IW; Matsen Iv FA; Baele G; Wertheim JO; Ji X; Lemey P; Suchard MA
Syst Biol; 2024 May; ():. PubMed ID: 38712512
[TBL] [Abstract][Full Text] [Related]
16. Inferring epidemiological dynamics with Bayesian coalescent inference: the merits of deterministic and stochastic models.
Popinga A; Vaughan T; Stadler T; Drummond AJ
Genetics; 2015 Feb; 199(2):595-607. PubMed ID: 25527289
[TBL] [Abstract][Full Text] [Related]
17. Contribution of Epidemiological Predictors in Unraveling the Phylogeographic History of HIV-1 Subtype C in Brazil.
Gräf T; Vrancken B; Maletich Junqueira D; de Medeiros RM; Suchard MA; Lemey P; Esteves de Matos Almeida S; Pinto AR
J Virol; 2015 Dec; 89(24):12341-8. PubMed ID: 26423943
[TBL] [Abstract][Full Text] [Related]
18. Phylogeography of foot-and-mouth disease virus serotype O in Ecuador.
de Carvalho LM; Santos LB; Faria NR; de Castro Silveira W
Infect Genet Evol; 2013 Jan; 13():76-88. PubMed ID: 22985683
[TBL] [Abstract][Full Text] [Related]
19. Recombination-aware phylogeographic inference using the structured coalescent with ancestral recombination.
Guo F; Carbone I; Rasmussen DA
PLoS Comput Biol; 2022 Aug; 18(8):e1010422. PubMed ID: 35984849
[TBL] [Abstract][Full Text] [Related]
20. Incorporating heterogeneous sampling probabilities in continuous phylogeographic inference - Application to H5N1 spread in the Mekong region.
Dellicour S; Lemey P; Artois J; Lam TT; Fusaro A; Monne I; Cattoli G; Kuznetsov D; Xenarios I; Dauphin G; Kalpravidh W; Von Dobschuetz S; Claes F; Newman SH; Suchard MA; Baele G; Gilbert M
Bioinformatics; 2020 Apr; 36(7):2098-2104. PubMed ID: 31790143
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]