RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference AM Kozlov, D Darriba, T Flouri, B Morel, A Stamatakis Bioinformatics 35 (21), 4453-4455, 2019 | 2535 | 2019 |
ModelTest-NG: a new and scalable tool for the selection of DNA and protein evolutionary models D Darriba, D Posada, AM Kozlov, A Stamatakis, B Morel, T Flouri Molecular biology and evolution 37 (1), 291-294, 2020 | 1224 | 2020 |
EPA-ng: massively parallel evolutionary placement of genetic sequences P Barbera, AM Kozlov, L Czech, B Morel, D Darriba, T Flouri, ... Systematic biology 68 (2), 365-369, 2019 | 462 | 2019 |
Phylogenetic analysis of SARS-CoV-2 data is difficult B Morel, P Barbera, L Czech, B Bettisworth, L Hübner, S Lutteropp, ... Molecular biology and evolution 38 (5), 1777-1791, 2021 | 150 | 2021 |
GeneRax: a tool for species-tree-aware maximum likelihood-based gene family tree inference under gene duplication, transfer, and loss B Morel, AM Kozlov, A Stamatakis, GJ Szöllősi Molecular biology and evolution 37 (9), 2763-2774, 2020 | 98 | 2020 |
ParGenes: a tool for massively parallel model selection and phylogenetic tree inference on thousands of genes B Morel, AM Kozlov, A Stamatakis Bioinformatics 35 (10), 1771-1773, 2019 | 57 | 2019 |
SpeciesRax: a tool for maximum likelihood species tree inference from gene family trees under duplication, transfer, and loss B Morel, P Schade, S Lutteropp, TA Williams, GJ Szöllősi, A Stamatakis Molecular biology and evolution 39 (2), msab365, 2022 | 34 | 2022 |
RAxML-NG: a fast, scalable, and user-friendly tool for maximum likelihood phylogenetic inference. bioRxiv 447110 A Kozlov, D Darriba, T Flouri, B Morel, A Stamatakis | 31 | 2018 |
Treerecs: an integrated phylogenetic tool, from sequences to reconciliations N Comte, B Morel, D Hasić, L Guéguen, B Boussau, V Daubin, S Penel, ... Bioinformatics 36 (18), 4822-4824, 2020 | 25 | 2020 |
Photoreceptor diversification accompanies the evolution of Anthozoa SG Gornik, BG Bergheim, B Morel, A Stamatakis, NS Foulkes, A Guse Molecular biology and evolution 38 (5), 1744-1760, 2021 | 23 | 2021 |
NetRAX: accurate and fast maximum likelihood phylogenetic network inference S Lutteropp, C Scornavacca, AM Kozlov, B Morel, A Stamatakis Bioinformatics 38 (15), 3725-3733, 2022 | 18 | 2022 |
Are fleas highly modified Mecoptera? Phylogenomic resolution of Antliophora (Insecta: Holometabola) K Meusemann, M Trautwein, F Friedrich, RG Beutel, BM Wiegmann, ... BioRxiv, 2020.11. 19.390666, 2020 | 15 | 2020 |
Asteroid: a new algorithm to infer species trees from gene trees under high proportions of missing data B Morel, TA Williams, A Stamatakis Bioinformatics 39 (1), btac832, 2023 | 6 | 2023 |
Data distribution for phylogenetic inference with site repeats via judicious hypergraph partitioning I Baar, L Hübner, P Oettig, A Zapletal, S Schlag, A Stamatakis, B Morel 2019 IEEE International Parallel and Distributed Processing Symposium …, 2019 | 6 | 2019 |
A novel heuristic for data distribution in massively parallel phylogenetic inference using site repeats B Morel, T Flouri, A Stamatakis 2017 IEEE 19th International Conference on High Performance Computing and …, 2017 | 6 | 2017 |
Parameter estimation and species tree rooting using ALE and GeneRax TA Williams, AA Davín, B Morel, LL Szánthó, A Spang, A Stamatakis, ... Genome Biology and Evolution 15 (7), evad134, 2023 | 4 | 2023 |
The power and limitations of species tree-aware phylogenetics TA Williams, AA Davin, B Morel, LL Szánthó, A Spang, A Stamatakis, ... BioRxiv, 2023.03. 17.533068, 2023 | 4 | 2023 |
Complexity of avian evolution revealed by family-level genomes J Stiller, S Feng, AA Chowdhury, I Rivas-González, DA Duchêne, Q Fang, ... Nature, 1-3, 2024 | 3 | 2024 |
AleRax: a tool for gene and species tree co-estimation and reconciliation under a probabilistic model of gene duplication, transfer, and loss B Morel, TA Williams, A Stamatakis, GJ Szöllősi Bioinformatics 40 (4), btae162, 2024 | 1 | 2024 |
Identifying the Last Universal Common Ancestor′ s protein domains resolves the order in which the amino acids were recruited into the genetic code S Wehbi, A Wheeler, B Morel, BQ Minh, D Lauretta, J Masel bioRxiv, 2024.04. 13.589375, 2024 | | 2024 |