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Jonathan Tuke

Researcher at University of Adelaide

Publications -  83
Citations -  1246

Jonathan Tuke is an academic researcher from University of Adelaide. The author has contributed to research in topics: Population & Bayesian probability. The author has an hindex of 16, co-authored 79 publications receiving 905 citations.

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GHOST: Recovering Historical Signal from Heterotachously Evolved Sequence Alignments.

TL;DR: Simulations show that using the GHOST model, IQ-TREE can accurately recover the tree topology, branch lengths and substitution model parameters from heterotachously-evolved sequences, and it is shown that, owing to the minimization of model constraints, theGHOST model offers unique biological insights when applied to empirical data.
Journal ArticleDOI

The effects of air pollution on asthma hospital admissions in Adelaide, South Australia, 2003–2013: time-series and case–crossover analyses

TL;DR: It is suggested that children are more vulnerable and the associations between exposure to air pollutants and asthma hospitalizations tended to be stronger in the cool season compared to the warm season, with the exception of ozone.
Journal ArticleDOI

Evaluation of the Triple Tibial Osteotomy. A new technique for the management of the canine cruciate-deficient stifle

TL;DR: The triple tibial osteotomy is described and the results of a prospective study of 64 consecutive cases are presented, showing that TTO provided a satisfactory clinical outcome in a very high percentage of cases.
Posted ContentDOI

GHOST: Recovering Historical Signal from Heterotachously-evolved Sequence Alignments

TL;DR: This work introduces the General Heterogeneous evolution On a Single Topology (GHOST) model of sequence evolution, implemented under a maximum-likelihood framework in the phylogenetic program IQ-TREE, and shows that it can accurately recover the tree topology, branch lengths, substitution rate and base frequency parameters from heterotachous sequences.