Dominik Schrempf
Dominik Schrempf
Dept. Biological Physics, Eötvös Loránd University, Budapest, Hungary
Zweryfikowany adres z caesar.elte.hu - Strona główna
Cytowane przez
Cytowane przez
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
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
PoMo: an allele frequency-based approach for species tree estimation
N De Maio, D Schrempf, C Kosiol
Systematic biology 64 (6), 1018-1031, 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
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
Temperature control of ion guiding through insulating capillaries
E Gruber, G Kowarik, F Ladinig, JP Waclawek, D Schrempf, F Aumayr, ...
Physical review a 86 (6), 062901, 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/doc/iqtree-doc. pdf, 2022
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
The sources of phylogenetic conflicts
D Schrempf, G Szöllősi
Phylogenetics in the genomic era, 3.1: 1--3.1: 23, 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
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
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
Relative time constraints improve molecular dating
GJ Szöllõsi, S Höhna, TA Williams, D Schrempf, V Daubin, B Boussau
Regular Manuscript 71 (4), 797-809, 2022
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
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
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
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
Compositionally constrained sites drive long-branch attraction
LL Szánthó, N Lartillot, GJ Szöllősi, D Schrempf
Systematic Biology 72 (4), 767-780, 2023
The effect of temperature on guiding of slow highly charged ions through a mesoscopic glass capillary
RJ Bereczky, G Kowarik, F Ladinig, D Schrempf, K Tökési, F Aumayr
Journal of Physics: Conference Series 388 (13), 132031, 2012
An ultra-compact setup for measuring ion-induced electron emission statistics
D Schrempf, W Meissl, F Aumayr
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2013
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