Author

J. Tuke

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:DNA methylation· 2 Research Focus:phylogenetics / evolution· 2 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Cooper· 1 shared A. von Haeseler· 1 shared A.-L. Chaber· 1 shared B. Q. Minh· 1 shared B. R. Holland· 1 shared C. S. Turney· 1 shared C. Stringer· 1 shared E. Dal Grande· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperEvolutionary Biology

A. Cooper

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Author profile →

3 papers

Recent·Most cited

Introgression, hominin dispersal and megafaunal survival in Late Pleistocene Island Southeast Asia

J. C. Teixeira, G. S. Jacobs, C. Stringer, J. Tuke, G. Hudjashov, G. A. Purnomo, H. Sudoyo, M. P. Cox, R. Tobler, C. S. Turney, A. Cooper, K. M. Helgen

The paper investigates introgression and hominin dispersal in Island Southeast Asia, finding widespread Denisovan ancestry but no evidence of super-archaic hominin admixture.

bioRxiv · Jul 24, 2020 · PreprintEvolutionary Biology

Is YouTube(R) promoting the exotic pet trade?Analysis of the global public perception of popular YouTube(R) videos featuring threatened exotic animals.

G. K. Moloney, J. Tuke, E. Dal Grande, T. Nielsen, A.-L. Chaber

The paper analyzes YouTube video comments to assess public perception of exotic pets, finding consistent positive sentiment towards videos featuring wild cats and primates, suggesting societal normalization of the exotic pet trade.

bioRxiv · Jun 17, 2020Scientific Communication & Education

GHOST: Recovering Historical Signal from Heterotachously-evolved Sequence Alignments

S. M. Crotty, B. Q. Minh, N. G. Bean, B. R. Holland, J. Tuke, L. S. Jermiin, A. von Haeseler

The paper introduces the GHOST model to improve phylogenetic inference from heterotachously-evolved sequences, showing it accurately recovers tree topologies and provides new insights into historical signals in empirical data.

bioRxiv · Jan 19, 2019Evolutionary Biology