Sebastian Höhna

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John P. HuelsenbeckUniversity of California, BerkeleyVerified email at berkeley.edu
Fredrik RonquistProfessor, Swedish Museum of Natural History, Dept. Bioinformatics and GeneticsVerified email at nrm.se
Marc A. SuchardProfessor, University of California, Los AngelesVerified email at ucla.edu
Michael LandisAssistant Professor at Washington University in St. LouisVerified email at wustl.edu
Brian R. MooreAssociate Professor of Evolutionary Biology, University of California, DavisVerified email at ucdavis.edu
Bastien BoussauLBBE, UMR 5558, CNRS researcher, Université de LyonVerified email at univ-lyon1.fr
Tracy A. HeathAssociate Professor, Iowa State UniversityVerified email at iastate.edu
William A. Freyman23andMeVerified email at 23andme.com
Alexei J. DrummondProfessor of Computational Biology, University of AucklandVerified email at cs.auckland.ac.nz
nicolas lartillotResearch Director, Université de Lyon 1Verified email at univ-lyon1.fr
Bruce RannalaProfessor, Department of Evolution and Ecology, UC DavisVerified email at ucdavis.edu
Ana CatalánLudwig Maximilians University. Munich, Germany.Verified email at bio.lmu.de
Tanja StadlerETH ZurichVerified email at env.ethz.ch
Tom BrittonStockholm University, Department of MathematicsVerified email at math.su.se
Christopher Herbert MartinAssociate Professor and Curator, University of California, BerkeleyVerified email at berkeley.edu
Thijs JanzenScientific Programmer , University of Groningen, Groningen, NetherlandsVerified email at rug.nl
Rampal S. EtienneUniversity of Groningen, The NetherlandsVerified email at rug.nl
Chris ConroyMuseum Curator, UC BerkeleyVerified email at berkeley.edu
Luis PalazzesiMuseo Argentino de Ciencias NaturalesVerified email at macn.gov.ar

Sebastian Höhna

Emmy Noether Research Group Leader, Ludwig-Maximilians-Universität, München

Verified email at lmu.de - Homepage

Computational Evolutionary Biology Phylogenetics Bayesian Inference


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MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space F Ronquist, M Teslenko, P Van Der Mark, DL Ayres, A Darling, S Höhna, ... Systematic biology 61 (3), 539-542, 2012	21118	2012
RevBayes: Bayesian phylogenetic inference using graphical models and an interactive model-specification language S Höhna, MJ Landis, TA Heath, B Boussau, N Lartillot, BR Moore, ... Systematic biology 65 (4), 726-736, 2016	495	2016
Critically evaluating the theory and performance of Bayesian analysis of macroevolutionary mixtures BR Moore, S Höhna, MR May, B Rannala, JP Huelsenbeck Proceedings of the National Academy of Sciences 113 (34), 9569-9574, 2016	288	2016
Inferring Speciation and Extinction Rates under Different Sampling Schemes S Höhna, T Stadler, F Ronquist, T Britton Molecular Biology and Evolution 28 (9), 2577-2589, 2011	152	2011
TESS: an R package for efficiently simulating phylogenetic trees and performing Bayesian inference of lineage diversification rates S Höhna, MR May, BR Moore Bioinformatics 32 (5), 789--791, 2016	123	2016
Probabilistic graphical model representation in phylogenetics S Höhna, TA Heath, B Boussau, MJ Landis, F Ronquist, JP Huelsenbeck Systematic Biology 63 (5), 753-771, 2014	106	2014
Guided tree topology proposals for Bayesian phylogenetic inference S Höhna, AJ Drummond Systematic Biology 61 (1), 1-11, 2012	101	2012
A Bayesian approach for detecting the impact of mass‐extinction events on molecular phylogenies when rates of lineage diversification may vary MR May, S Höhna, BR Moore Methods in Ecology and Evolution 7 (8), 947--959, 2016	99	2016
Testing the role of the Red Queen and Court Jester as drivers of the macroevolution of Apollo butterflies FL Condamine, J Rolland, S Höhna, FAH Sperling, I Sanmartín Systematic Biology 67 (6), 940-964, 2018	77	2018
Fast simulation of reconstructed phylogenies under global time-dependent birth–death processes S Höhna Bioinformatics 29 (11), 1367-1374, 2013	70	2013
Cladogenetic and anagenetic models of chromosome number evolution: a Bayesian model averaging approach WA Freyman, S Höhna Systematic biology 67 (2), 195-215, 2018	61	2018
The time-dependent reconstructed evolutionary process with a key-role for mass-extinction events S Höhna Journal of Theoretical Biology 380, 321--331, 2015	59	2015
Likelihood inference of non-constant diversification rates with incomplete taxon sampling S Höhna PLoS one 9 (1), e84184, 2014	52	2014
Early arrival and climatically-linked geographic expansion of New World monkeys from tiny African ancestors D Silvestro, MF Tejedor, ML Serrano-Serrano, O Loiseau, V Rossier, ... Systematic Biology 68 (1), 78-92, 2019	46	2019
Non-monophyly and intricate morphological evolution within the avian family Cettiidae revealed by multilocus analysis of a taxonomically densely sampled dataset P Alström, S Höhna, M Gelang, PGP Ericson, U Olsson BMC evolutionary biology 11, 1-17, 2011	44	2011
Approximate Bayesian Computation of diversification rates from molecular phylogenies: introducing a new efficient summary statistic, the nLTT T Janzen, S Höhna, RS Etienne Methods in ecology and evolution 6 (5), 566-575, 2015	43	2015
Stochastic character mapping of state-dependent diversification reveals the tempo of evolutionary decline in self-compatible Onagraceae lineages W Freyman, S Höhna Systematic Biology 68 (3), 505-519, 2019	38	2019
Clock-constrained tree proposal operators in Bayesian phylogenetic inference S Hohna, M Defoin-Platel, AJ Drummond 2008 8th IEEE International Conference on BioInformatics and BioEngineering, 1-7, 2008	33	2008
Phylogenetic Inference Using `RevBayes` S Höhna, MJ Landis, TA Heath Current protocols in bioinformatics 57 (1), 6.16. 1-6.16. 34, 2017	28	2017
Drift and Directional Selection Are the Evolutionary Forces Driving Gene Expression Divergence in Eye and Brain Tissue of Heliconius Butterflies A Catalán, AD Briscoe, S Höhna Genetics 213 (2), 581-594, 2019	27	2019

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