IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era BQ Minh, HA Schmidt, O Chernomor, D Schrempf, MD Woodhams, ... Molecular biology and evolution 37 (5), 1530-1534, 2020 | 8948 | 2020 |
The comparative genomics and complex population history of Papio baboons J Rogers, M Raveendran, RA Harris, T Mailund, K Leppälä, ... Science Advances 5 (1), eaau6947, 2019 | 151 | 2019 |
Divergent evolutionary trajectories of bryophytes and tracheophytes from a complex common ancestor of land plants BJ Harris, JW Clark, D Schrempf, GJ Szöllősi, PCJ Donoghue, ... Nature Ecology & Evolution 6 (11), 1634-1643, 2022 | 102 | 2022 |
PoMo: an allele frequency-based approach for species tree estimation N De Maio, D Schrempf, C Kosiol Systematic biology 64 (6), 1018-1031, 2015 | 88 | 2015 |
Reversible polymorphism-aware phylogenetic models and their application to tree inference D Schrempf, BQ Minh, N De Maio, A von Haeseler, C Kosiol Journal of theoretical biology 407, 362-370, 2016 | 82 | 2016 |
Temperature control of ion guiding through insulating capillaries E Gruber, G Kowarik, F Ladinig, JP Waclawek, D Schrempf, F Aumayr, ... Physical Review A—Atomic, Molecular, and Optical Physics 86 (6), 062901, 2012 | 69 | 2012 |
IQ-TREE version 2.0: tutorials and Manual Phylogenomic software by maximum likelihood BQ Minh, J Trifinopoulos, D Schrempf, HA Schmidt, R Lanfear URL http://www. iqtree. org, 2019 | 61 | 2019 |
2: New models and efficient methods for phylogenetic inference in the genomic era., 2020, 37 BQ Minh, HA Schmidt, O Chernomor, D Schrempf, MD Woodhams, ... DOI: https://doi. org/10.1093/molbev/msaa015, 1530-1534, 2020 | 58 | 2020 |
ATP synthase evolution on a cross-braced dated tree of life TA Mahendrarajah, ERR Moody, D Schrempf, LL Szánthó, N Dombrowski, ... Nature Communications 14 (1), 7456, 2023 | 38 | 2023 |
Scalable empirical mixture models that account for across-site compositional heterogeneity D Schrempf, N Lartillot, G Szöllősi Molecular Biology and Evolution 37 (12), 3616-3631, 2020 | 38 | 2020 |
The sources of phylogenetic conflicts D Schrempf, G Szöllősi Phylogenetics in the genomic era, 3.1: 1--3.1: 23, 2020 | 34 | 2020 |
Polymorphism-aware species trees with advanced mutation models, bootstrap, and rate heterogeneity D Schrempf, BQ Minh, A von Haeseler, C Kosiol Molecular Biology and Evolution 36 (6), 1294-1301, 2019 | 34 | 2019 |
An alternative derivation of the stationary distribution of the multivariate neutral Wright–Fisher model for low mutation rates with a view to mutation rate estimation from … D Schrempf, A Hobolth Theoretical population biology 114, 88-94, 2017 | 25 | 2017 |
Inferring the deep past from molecular data TA Williams, D Schrempf, GJ Szöllősi, CJ Cox, PG Foster, TM Embley Genome biology and evolution 13 (5), evab067, 2021 | 22 | 2021 |
Relative time constraints improve molecular dating GJ Szöllősi, S Höhna, TA Williams, D Schrempf, V Daubin, B Boussau Regular Manuscript 71 (4), 797-809, 2022 | 19 | 2022 |
Recoding amino acids to a reduced alphabet may increase or decrease phylogenetic accuracy PG Foster, D Schrempf, GJ Szöllősi, TA Williams, CJ Cox, TM Embley Systematic Biology 72 (3), 723-737, 2023 | 15 | 2023 |
Compositionally constrained sites drive long-branch attraction LL Szánthó, N Lartillot, GJ Szöllősi, D Schrempf Systematic Biology 72 (4), 767-780, 2023 | 13 | 2023 |
IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era (vol 37, pg 1530, 2020) BQ Minh, HA Schmidt, O Chernomor, D Schrempf, MD Woodhams, ... Molecular Biology and Evolution 37 (8), 2461-2461, 2020 | 11 | 2020 |
Inference in population genetics using forward and backward, discrete and continuous time processes J Bergman, D Schrempf, C Kosiol, C Vogl Journal of Theoretical Biology 439, 166-180, 2018 | 10 | 2018 |
K. T okési, P. Gunacker, T. Schweigler, C. Lemell, J. Burgdörfer E Gruber, G Kowarik, F Ladinig, JP Waclawek, D Schrempf, F Aumayr, ... Phys. Rev. A 86, 062901, 2012 | 5 | 2012 |