| Full text | |
| Author(s): |
Dellicour, Simon
[1, 2]
;
Gill, Mandev S.
[1]
;
Faria, Nuno R.
[3, 4, 5]
;
Rambaut, Andrew
[6]
;
Pybus, Oliver G.
[3]
;
Suchard, Marc A.
[7, 8, 9]
;
Lemey, Philippe
[1]
Total Authors: 7
|
| Affiliation: | [1] Katholieke Univ Leuven, Dept Microbiol Immunol & Transplantat, Rega Inst, Leuven - Belgium
[2] Univ Libre Bruxelles, Spatial Epidemiol Lab SpELL, Brussels - Belgium
[3] Univ Oxford, Dept Zool, Oxford - England
[4] Univ Sao Paulo, Inst Med Trop, Fac Med, Sao Paulo - Brazil
[5] Imperial Coll London, MRC Ctr Global Infect Dis Anal, J IDEA, London - England
[6] Univ Edinburgh, Inst Evolutionary Biol, Edinburgh, Midlothian - Scotland
[7] Univ Calif Los Angeles, David Geffen Sch Med, Dept Human Genet, Los Angeles, CA 90095 - USA
[8] Univ Calif Los Angeles, David Geffen Sch Med, Dept Biomath, Los Angeles, CA 90095 - USA
[9] Univ Calif Los Angeles, Fielding Sch Publ Hlth, Dept Biostat, Los Angeles, CA - USA
Total Affiliations: 9
|
| Document type: | Journal article |
| Source: | Molecular Biology and Evolution; v. 38, n. 8, p. 3486-3493, AUG 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
Spatially explicit phylogeographic analyses can be performed with an inference framework that employs relaxed random walks to reconstruct phylogenetic dispersal histories in continuous space. This core model was first implemented 10 years ago and has opened up new opportunities in the field of phylodynamics, allowing researchers to map and analyze the spatial dissemination of rapidly evolving pathogens. We here provide a detailed and step-by-step guide on how to set up, run, and interpret continuous phylogeographic analyses using the programs BEAUti, BEAST, Tracer, and TreeAnnotator. (AU) | |
| FAPESP's process: | 18/14389-0 - Brazil-UK Centre for Arbovirus Discovery, Diagnosis, Genomics and Epidemiology (CADDE) |
| Grantee: | Ester Cerdeira Sabino |
| Support Opportunities: | Research Projects - Thematic Grants |