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Timothy G Vaughan
Timothy G Vaughan
Department of Biosystems Science and Engineering, ETH Zürich, Switzerland
Verified email at bsse.ethz.ch
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Cited by
Year
BEAST 2: a software platform for Bayesian evolutionary analysis
R Bouckaert, J Heled, D Kühnert, T Vaughan, CH Wu, D Xie, MA Suchard, ...
PLoS computational biology 10 (4), e1003537, 2014
56002014
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis
R Bouckaert, TG Vaughan, J Barido-Sottani, S Duchêne, M Fourment, ...
PLoS computational biology 15 (4), e1006650, 2019
20482019
Spread of a SARS-CoV-2 variant through Europe in the summer of 2020
EB Hodcroft, M Zuber, S Nadeau, TG Vaughan, KHD Crawford, ...
Nature 595 (7869), 707-712, 2021
4712021
Phylodynamics with migration: a computational framework to quantify population structure from genomic data
D Kühnert, T Stadler, TG Vaughan, AJ Drummond
Molecular biology and evolution 33 (8), 2102-2116, 2016
1242016
Simultaneous reconstruction of evolutionary history and epidemiological dynamics from viral sequences with the birth–death SIR model
D Kühnert, T Stadler, TG Vaughan, AJ Drummond
Journal of the Royal Society Interface 11 (94), 20131106, 2014
1232014
Efficient Bayesian inference under the structured coalescent
TG Vaughan, D Kühnert, A Popinga, D Welch, AJ Drummond
Bioinformatics 30 (16), 2272-2279, 2014
1202014
A Bayesian model predicts the response of axons to molecular gradients
D Mortimer, J Feldner, T Vaughan, I Vetter, Z Pujic, WJ Rosoff, K Burrage, ...
Proceedings of the National Academy of Sciences 106 (25), 10296-10301, 2009
1122009
Einstein-Podolsky-Rosen entanglement strategies in two-well Bose-Einstein condensates
QY He, MD Reid, TG Vaughan, C Gross, M Oberthaler, PD Drummond
Physical review letters 106 (12), 120405, 2011
1002011
Taming the BEAST—A community teaching material resource for BEAST 2
J Barido-Sottani, V Bošková, LD Plessis, D Kühnert, C Magnus, V Mitov, ...
Systematic biology 67 (1), 170-174, 2018
902018
The origin and early spread of SARS-CoV-2 in Europe
SA Nadeau, TG Vaughan, J Scire, JS Huisman, T Stadler
Proceedings of the National Academy of Sciences 118 (9), e2012008118, 2021
842021
IcyTree: rapid browser-based visualization for phylogenetic trees and networks
TG Vaughan
Bioinformatics 33 (15), 2392-2394, 2017
842017
Axon guidance by growth-rate modulation
D Mortimer, Z Pujic, T Vaughan, AW Thompson, J Feldner, I Vetter, ...
Proceedings of the National Academy of Sciences 107 (11), 5202-5207, 2010
792010
Reproductive number of the COVID-19 epidemic in Switzerland with a focus on the Cantons of Basel-Stadt and Basel-Landschaft
J Scire, SA Nadeau, T Vaughan, B Gavin, S Fuchs, J Sommer, KN Koch, ...
Swiss medical weekly 150 (19-20), w20271, 2020
702020
A stochastic simulator of birth–death master equations with application to phylodynamics
TG Vaughan, AJ Drummond
Molecular biology and evolution 30 (6), 1480-1493, 2013
602013
Estimating epidemic incidence and prevalence from genomic data
TG Vaughan, GE Leventhal, DA Rasmussen, AJ Drummond, D Welch, ...
Molecular Biology and Evolution, msz106, 2019
442019
Genetic diversity loss in a biodiversity hotspot: ancient DNA quantifies genetic decline and former connectivity in a critically endangered marsupial
C Pacioni, H Hunt, ME Allentoft, TG Vaughan, AF Wayne, A Baynes, ...
Molecular Ecology 24 (23), 5813-5828, 2015
422015
Inferring ancestral recombination graphs from bacterial genomic data
TG Vaughan, D Welch, AJ Drummond, PJ Biggs, T George, NP French
Genetics 205 (2), 857-870, 2017
392017
A multitype birth–death model for Bayesian inference of lineage-specific birth and death rates
J Barido-Sottani, TG Vaughan, T Stadler
Systematic biology 69 (5), 973-986, 2020
372020
Entanglement, number fluctuations and optimized interferometric phase measurement
QY He, TG Vaughan, PD Drummond, MD Reid
New Journal of Physics 14 (9), 093012, 2012
362012
How well can the exponential-growth coalescent approximate constant-rate birth–death population dynamics?
T Stadler, TG Vaughan, A Gavryushkin, S Guindon, D Kühnert, ...
Proceedings of the Royal Society B: Biological Sciences 282 (1806), 20150420, 2015
352015
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