Author

Sebastian Höhna

Primary ORCID profile (0000-0001-6519-6292 · 15 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Sebastian HöhnaiD15 papers · Ludwig-Maximilians-Universität München

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Research Focus:phylogenetics / evolution· 2 Assay:protein sequence· 1

Frequent Co-Authors

Brian R. MooreiD· 2 shared Michael R. MayiD· 2 shared

Activity by Year

2015-2015 · peak 2/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Brian R. MooreORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedNov 4, 2015

TESS: Bayesian inference of lineage diversification rates from (incompletely sampled) molecular phylogenies in R

Sebastian Höhna, Michael R. May, Brian R. Moore

TESS estimates lineage diversification rates from molecular phylogenies using Bayesian methods, accommodating incomplete sampling and various diversification models.

DOI 10.1093/bioinformatics/btv651

Bayesian inferencephylogenetics / evolution

𝕏 PostBluesky

Evolutionary BiologybioRxivPreprintJun 2, 2015

A Bayesian Approach for Detecting Mass-Extinction Events When Rates of Lineage Diversification Vary

Michael R. May, Sebastian Höhna, Brian R. Moore

This paper introduces a Bayesian method to detect mass-extinction events from molecular phylogenies, showing it can accurately identify extinction events even with background diversification rate variation.

DOI 10.1101/020149

protein sequenceBayesian inference

𝕏 PostBluesky