Mulvey LPA, May MR, Brown JM, Höhna S, Wright AM, Warnock RCM (2024): Assessing the Adequacy of Morphological Models Using Posterior Predictive Simulations. Systematic Biology, syae055, link
Höhna S, Lower SE, Duchen P, Catalán A (2024): Robustness of divergence time estimation despite gene tree estimation error: a case study of fireflies (Coleoptera: Lampyridae). Systematic Biology, syae065. link
Karapunar B, Höhna S, Nützel A (2024): Phylogeny of the longest existing gastropod clade (Pleurotomariida) reconstructed with Bayesian and parsimony methods and its implications on gastropod shell characters. Journal of Systematic Paleontology, 22(1). link
Capobianco A., Friedman M (2024): Fossils indicate marine dispersal in osteoglossid fishes, a classic example of continental vicariance. Proceedings of the Royal Society B, 291:20241293. link
Khakurel B, Grigsby C, Tran TD, Zariwala J, Höhna S, Wright AM (2024): The fundamental role of character coding in Bayesian morphological phylogenetics. Systematic Biology, syae033. link
Billenstein RJ, Höhna S (2024): Comparison of Bayesian Coalescent Skyline Plot Models for Inferring Demographic Histories. Molecular Biology and Evolution, 41(5), msae073. link
Höhna S, Hsiang AY (2024): Sequential Bayesian phylogenetic inference. Systematic Biology, syae020. link
Smith K, Ayres D, Neumaier R, Wörheide G, Höhna S (2024): Bayesian Phylogenetic Analysis on multi-core Compute Architectures: Implementation and evaluation of BEAGLE in RevBayes with MPI. Systematic Biology, syae005. link
Foerster SIA, Clarke JT, Õunap E, Teder T, Tammaru T. (2024). A Comparative Study of Body Size Evolution in Moths: Evidence of Correlated Evolution with Feeding and Phenology-Related Traits. Journal of Evolutionary Biology, voae072. link
Sepp T, Baines C, Kreitsberg R, Scharsack JP, Nogueira P, Lang T, Fort J, Sild E, Clarke JT, Tuvikene A, Meitern R (2024). Differences on the level of hepatic transcriptome between two flatfish species in response to liver cancer and environmental pollution levels. Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 275, 109781. link
Fabreti LG, Coghill LM, Thomson RC, Höhna S, Brown JM (2024): The Expected Behaviors of Posterior Predictive Tests and Their Unexpected Interpretation. Molecular Biology and Evolution, 41(3), msae051. link
Capobianco A, Zouhri S, Friedman M (2024): A long-snouted marine bonytongue (Teleostei: Osteoglossidae) from the early Eocene of Morocco and the phylogenetic affinities of marine osteoglossids. Zoological Journal of the Linnean Society, in press. link
Tsuboi, M, Kopperud, BT, Matschiner, M, Grabowski M, Syrowatka C, Pélabon C, Hansen TF (2024): Antler Allometry, the Irish Elk and Gould Revisited. Evolutionary Biology, 51, 149–165. link
Martínez-Gómez J, Song MJ, Tribble CM, Kopperud BT, Freyman WA, Höhna S, Specht CD, Rothfels, CJ (2024). Commonly used Bayesian diversification methods lead to biologically meaningful differences in branch-specific rates on empirical phylogenies. Evolution Letters, 8(2), 189-199. link
Höhna S, Kopperud BT, Magee AF: CRABS: Congruent Rate Analyses in Birth-death Scenarios, Methods in Ecology and Evolution, 13, 2709–2718, link
Catalán A, Höhna S, Lower SE, Duchen P: Inferring the demographic history of the North American firefly Photinus pyralis, Journal of Evolutionary Biology, in press, link
Borges R, Boussau B, Höhna S, Pereira RJ, Kosiol C: Polymorphism-aware estimation of species trees and evolutionary forces from genomic sequences with RevBayes, Methods in Ecology and Evolution, in press, link
Kopperud BT, Lidgard S and Liow LS: Enhancing georeferenced biodiversity inventories: automated information extraction from literature records reveal the gaps, PeerJ, 10:e13921, link
Barido-Sottani J, Justison JA, Borges R, Brown JM, Dismukes W, Petrucci BR, Fabreti L, Höhna S, Landis MJ, Lewis, PO, May MR, Mendes FK, Pett W, Redelings BD, Tribble CM, Wright AM, Zenil-Ferguson R and Heath TA: Lessons learned from organizing and teaching virtual phylogenetics workshops. The Bulletin of the Society of Systematic Biologists, 2022, 1(2):8425, link.
Szöllősi GJ, Höhna S, Williams TA, Schrempf D, Daubin V and Boussau B: Relative time constraints improve molecular dating, Systematic Biology, 2022, 71(4), 797–809, link
Tribble CM, Freyman WA, Landis MJ, Lim JY, Barido-Sottani J, Kopperud BT, Höhna S and May MR: RevGadgets: an R Package for visualizing Bayesian phylogenetic analyses from RevBayes, Methods in Ecology and Evolution, 2022, 13:314–323, link
Palazzesi L, Hidalgo O, Barreda VD, Forest F, and Höhna S: The rise of grasslands is linked to atmospheric CO2 decline in the late paleogene. Nature Communications, 2022, 13, 293, link
Fabreti L, Höhna S: Convergence assessment for bayesian phylogenetic analysis using mcmc simulation, Methods in Ecology and Evolution, 2022, 13:77–90, link
Höhna S, Landis MJ and Huelsenbeck JP: Parallel power posterior analyses for fast computation of marginal likelihoods in phylogenetics, PeerJ, 9:e12438, link
Orsi WD, Magritsch T, Vargas S, Coskun ÖK, Vuillemin A, Höhna S, Wörheide G, D’Hondt S, Shapiro BJ, Carini P: Genome evolution in bacteria isolated from million-year-old subseafloor sediment, mBio, 2021, 12:e01150–21, link.
Catalán A, Briscoe AD and Höhna S: Drift and Directional Selection Are the Evolutionary Forces Driving Gene Expression Divergence in Eye and Brain Tissue of Heliconius Butterflies, Genetics, 2019, vol. 213 no. 2 581–594, link
Freyman WA and Höhna S: Stochastic Character Mapping of State-Dependent Diversification Reveals the Tempo of Evolutionary Decline in Self-Compatible Onagraceae Lineages, Systematic Biology, 2019, 68 (3), 505–519, link
Silvestro D, Tejedor MF, Serrano-Serrano ML, Loiseau O, Rossier V, Rolland J, Zizka A, Höhna S, Antonelli A and Salamin N: Early Arrival and Climatically-Linked Geographic Expansion of New World Monkeys from Tiny African Ancestors, Systematic Biology, 2019, 68 (1), 78–92, link
Hsiang AY, Brombacher A, Rillo MC, Mleneck-Vautravers MJ, Conn S, Lordsmith S, Jentzen A, Henehan MJ, Metcalfe B, Fenton I, Wade BS, Fox L, Meilland J, Davis CV, Baranowski U, Groeneveld J, Edgar KM, Movellan A, Aze T, Dowsett H, Miller G, Rios N, Hull PM. (2019) Endless Forams: >34,000 modern planktonic foraminiferal images for taxonomic training and automated species recognition using convolutional neural networks, Paleoceanography and Paleoclimatology, 2019, 34, link
Field DJ, Berv JS, Hsiang AY, Lanfear R, Landis MJ, Dornburg A. Timing the extant avian radiation: The rise of modern birds, and the importance of modelling molecular rate variation, PeerJ Preprints, 2019, 7, e27521v1, link
Condamine FL, Rolland J, Höhna S, Sperling FAH and Sanmartin I: Testing the Role of the Red Queen and Court Jester as Drivers of the Macroevolution of Apollo Butterflies, Systematic Biology, 2018, 67 (6), 940–964, link
Martin CH and Höhna S: New evidence for the recent divergence of Devil’s Hole pupfish and the plausibility of elevated mutation rates in endangered taxa, Molecular Ecology, 2018, 27 (4), 831–838, link
Höhna S, Coghill LM, Mount G, Thomson R and Brown JM: P3: Phylogenetic Posterior Prediction in RevBayes, Molecular Biology and Evolution, 2018, 35 (4), 1028–1034, link
Freyman WA and Höhna S: Cladogenetic and Anagenetic Models of Chromosome Number Evolution: a Bayesian Model Averaging Approach, Systematic Biology, 2018, 67 (2), 195–215, link
Höhna S, Landis MJ and Heath TA: Phylogenetic Inference using RevBayes. Current Protocols in Bioinformatics, 2017, 57:6.16.1-6.16.34, link
Martin CH, S Höhna, Crawford JE, Turner BJ, Richards EJ and Simons LH: The complex effects of demographic history on the estimation of substitution rate: concatenated analysis results in no more than 2-fold overestimation, Proceedings of the Royal Society B, 2017, 284: 20170537, link
Moore BR, Höhna S, May MR, Rannala B and Huelsenbeck JP: Critically evaluating the theory and performance of Bayesian analysis of macroevolutionary mixtures. Proceedings of the National Academy of Sciences, 2016, 113 (34), 9569-9574, link
Höhna S, Landis MJ, Heath TA, Boussau B, Moore BR, Lartillot N, Huelsenbeck JP and Ronquist F: RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Speci cation Language, Systematic Biology, 2016, 65 (4), 726-736, link
Conroy CR, Patton JL, Lim M, Phuong M, Parmenter B and Höhna S: Following the rivers: historical reconstruction of California voles (Microtus californicus, Muridae, Rodentia) in the deserts of eastern California, Biological Journal of the Linnean Society, 2016, 119 (1), 80–98, link
Höhna S, May MR and Moore BR: TESS: an R package for efficiently simulating phylogenetic trees and performing Bayesian inference of lineage diversification rates, Bioinformatics, 2016, 32 (5): 789-791, link