Author

D. Kuhnert

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

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:chromatin & epigenetic regulation· 1 Approach:comparative / phylogenetic analysis· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Gavryushkina· 1 shared A. J. Drummond· 1 shared A. Popinga· 1 shared A. Rambaut· 1 shared B.-E. O. Jensen· 1 shared C. Zhang· 1 shared C.-H. Wu· 1 shared D. Rasmussen· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperEvolutionary Biology

A. Gavryushkina

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2 papers

Recent·Most cited

Phylogenetic meta-analysis of chronic SARS-CoV-2 infections in immunocompromised patients shows no evidence of elevated evolutionary rates

S. Oversti, E. Gaul, B.-E. O. Jensen, D. Kuhnert

This study re-evaluates SARS-CoV-2 intrahost evolution rates in immunocompromised patients using multiple methods, finding no evidence of elevated rates compared to host-to-host transmission.

bioRxiv · Nov 1, 2023 · PreprintEvolutionary 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