Author

A. Popinga

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· 3

Signature Assays, Organisms & Methods

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Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Organism:multiple species· 1 Assay:protein sequence· 1

Frequent Co-Authors

R. Bouckaert· 2 shared A. Gavryushkina· 1 shared A. J. Drummond· 1 shared A. Rambaut· 1 shared B. Holland· 1 shared C. Curtis· 1 shared C. Millar· 1 shared C. W. Carter· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersEvolutionary Biology

R. Bouckaert

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3 papers

Recent·Most cited

High-Resolution, Multidimensional Phylogenetic Metrics Identify Class I Aminoacyl-tRNA Synthetase Evolutionary Mosaicity and Inter-modular 'Coupling

C. W. Carter, A. Popinga, R. Bouckaert, P. Wills

The paper uses phylogenetic metrics to show that Class I aminoacyl-tRNA synthetases evolved from a mosaic of genetic sources with modular 'coupling' and identifies a protozyme as the root of the molecular tree.

bioRxiv · Apr 9, 2020 · PreprintEvolutionary Biology

Mitogenomic Diversity in Sacred Ibis Mummies sheds light on early Egyptian practices

S. Wasef, S. Subramanian, R. O'Rorke, L. Huynen, S. El-Marghani, C. Curtis, A. Popinga, B. Holland, S. Ikram, C. Millar, E. Willerslev, D. Lambert

The paper analyzes mitochondrial genomes of Sacred Ibis mummies to determine how ancient Egyptians obtained birds for mummification, finding high genetic diversity suggesting wild taming rather than centralized farming.

bioRxiv · Apr 16, 2019Evolutionary Biology

BEAST 2.5: An Advanced Software Platform for Bayesian Evolutionary Analysis

R. Bouckaert, T. G. Vaughan, J. Barido-Sottani, S. Duchene, M. Fourment, A. Gavryushkina, J. Heled, G. Jones, D. Kuhnert, N. de Maio, M. Matschiner, F. K. Mendes, N. Muller, H. A. Ogilvie, L. du Plessis, , A. J. Drummond

The paper describes new developments in the BEAST 2.5 software platform for Bayesian evolutionary analysis, expanding joint inference over multiple data types and complex phylodynamics.

bioRxiv · Nov 19, 2018Evolutionary Biology