Author

D. Schrempf

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· 6

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Research Focus:phylogenetics / evolution· 6 Organism:bacteria (other)· 3 Approach:statistical model· 3 Approach:Bayesian inference· 1 Approach:comparative / phylogenetic analysis· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

T. A. Williams· 4 shared G. J. Szöllosi· 3 shared L. L. Szantho· 3 shared P. Donoghue· 3 shared A. A. Davin· 2 shared A. Spang· 2 shared B. Boussau· 2 shared D. Pisani· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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4 shared papersEvolutionary Biology

T. A. Williams

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6 papers

Recent·Most cited

ATP synthase evolution on a cross-braced dated tree of life

T. A. Mahendrarajah, E. R. R. Moody, D. Schrempf, L. L. Szantho, N. Dombrowski, A. A. Davin, D. Pisani, P. Donoghue, G. J. Szollosi, T. A. Williams, A. Spang

This study reconstructs the evolutionary history of ATP synthase using a cross-braced dated tree of life, showing early divergence of F- and A/V-type lineages and timing of eukaryogenesis.

Nature Communications · Nov 17, 2023Peer-reviewedEvolutionary Biology

An evolutionary timescale for Bacteria calibrated using the Great Oxidation Event

A. A. Davin, B. J. Woodcroft, R. M. Soo, R. Murali, D. Schrempf, J. Clark, B. Boussau, E. R. R. Moody, L. L. Szantho, E. Richy, D. Pisani, J. Hemp, W. W. Fischer, P. Donoghue, A. Spang, , G. J. Szöllosi

This paper uses machine learning and phylogenetic reconciliation to estimate the evolutionary timeline of Bacteria, linking transitions to aerobic lifestyles to the Great Oxidation Event.

bioRxiv · Aug 8, 2023 · PreprintEvolutionary Biology

Compositionally constrained sites drive long branch attraction

L. L. Szantho, N. Lartillot, G. J. Szöllosi, D. Schrempf

This study introduces a method to address phylogenetic bias caused by compositional heterogeneity and shows it reduces long branch attraction artifacts in metazoan datasets.

bioRxiv · Mar 3, 2022 · PreprintEvolutionary Biology

Divergent evolutionary trajectories of bryophytes and tracheophytes from a complex common ancestor of land plants

B. J. Harris, J. W. Clark, D. Schrempf, G. J. Szöllosi, P. Donoghue, A. M. Hetherington, T. A. Williams

This study investigates the evolutionary divergence between bryophytes and tracheophytes, finding they split from a common ancestor during the Cambrian and underwent distinct genomic changes.

bioRxiv · Oct 28, 2021Evolutionary Biology

Relative time constraints improve molecular dating

G. J. Szollosi, S. Hoehna, T. A. Williams, D. Schrempf, V. Daubin, B. Boussau

This study introduces a method to improve molecular dating by combining fossil calibrations with relative age constraints, showing significant improvements in estimating node ages using simulations and empirical data.

bioRxiv · Oct 17, 2020Evolutionary Biology

IQ-TREE 2: New models and efficient methods for phylogenetic inference in the genomic era

B. Q. Minh, H. Schmidt, O. Chernomor, D. Schrempf, M. Woodhams, A. von Haeseler, R. Lanfear

IQ-TREE 2 introduces new models and efficient methods for phylogenetic inference, improving upon its previous version for genomic data analysis.

bioRxiv · Nov 21, 2019Evolutionary Biology