| RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies A Stamatakis Bioinformatics 30 (9), 1312-1313, 2014 | 17822 | 2014 |
| RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models A Stamatakis Bioinformatics 22 (21), 2688-2690, 2006 | 14925 | 2006 |
| A rapid bootstrap algorithm for the RAxML web servers A Stamatakis, P Hoover, J Rougemont Systematic biology 57 (5), 758-771, 2008 | 6703 | 2008 |
| ARB: a software environment for sequence data W Ludwig, O Strunk, R Westram, L Richter, H Meier, Yadhukumar, ... Nucleic acids research 32 (4), 1363-1371, 2004 | 6220 | 2004 |
| PEAR: a fast and accurate Illumina Paired-End reAd mergeR J Zhang, K Kobert, T Flouri, A Stamatakis Bioinformatics 30 (5), 614-620, 2014 | 2539 | 2014 |
| Phylogenomics resolves the timing and pattern of insect evolution B Misof, S Liu, K Meusemann, RS Peters, A Donath, C Mayer, ... Science 346 (6210), 763-767, 2014 | 1631 | 2014 |
| RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees A Stamatakis, T Ludwig, H Meier Bioinformatics 21 (4), 456-463, 2005 | 1533 | 2005 |
| A general species delimitation method with applications to phylogenetic placements J Zhang, P Kapli, P Pavlidis, A Stamatakis Bioinformatics 29 (22), 2869-2876, 2013 | 1387 | 2013 |
| Whole-genome analyses resolve early branches in the tree of life of modern birds ED Jarvis, S Mirarab, AJ Aberer, B Li, P Houde, C Li, SYW Ho, ... Science 346 (6215), 1320-1331, 2014 | 1380 | 2014 |
| Assessing the root of bilaterian animals with scalable phylogenomic methods A Hejnol, M Obst, A Stamatakis, M Ott, GW Rouse, GD Edgecombe, ... Proceedings of the Royal Society B: Biological Sciences 276 (1677), 4261-4270, 2009 | 754 | 2009 |
| How many bootstrap replicates are necessary? ND Pattengale, M Alipour, ORP Bininda-Emonds, BME Moret, ... Journal of Computational Biology 17 (3), 337-354, 2010 | 570 | 2010 |
| 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 | 520 | 2019 |
| Selecting optimal partitioning schemes for phylogenomic datasets R Lanfear, B Calcott, D Kainer, C Mayer, A Stamatakis BMC Evolutionary Biology 14 (1), 82, 2014 | 473 | 2014 |
| Frontiers: The iPlant Collaborative: Cyberinfrastructure for Plant Biology SA Goff, M Vaughn, S McKay, E Lyons, AE Stapleton, D Gessler, ... Frontiers in Plant Genetics And Genomics 2, 2011 | 460* | 2011 |
| Performance, accuracy, and web server for evolutionary placement of short sequence reads under maximum likelihood SA Berger, D Krompass, A Stamatakis Systematic biology 60 (3), 291, 2011 | 407 | 2011 |
| Phylogenetic models of rate heterogeneity: a high performance computing perspective A Stamatakis Proceedings 20th IEEE International Parallel & Distributed Processing …, 2006 | 378 | 2006 |
| Metagenomic species profiling using universal phylogenetic marker genes S Sunagawa, DR Mende, G Zeller, F Izquierdo-Carrasco, SA Berger, ... Nature methods 10 (12), 1196-1199, 2013 | 364 | 2013 |
| How many bootstrap replicates are necessary? ND Pattengale, M Alipour, ORP Bininda-Emonds, BME Moret, ... Annual International Conference on Research in Computational Molecular …, 2009 | 343 | 2009 |
| SATé-II: very fast and accurate simultaneous estimation of multiple sequence alignments and phylogenetic trees K Liu, TJ Warnow, MT Holder, SM Nelesen, J Yu, AP Stamatakis, ... Systematic Biology 61 (1), 90-106, 2012 | 337 | 2012 |
| Multi-rate Poisson tree processes for single-locus species delimitation under maximum likelihood and Markov chain Monte Carlo P Kapli, S Lutteropp, J Zhang, K Kobert, P Pavlidis, A Stamatakis, T Flouri Bioinformatics 33 (11), 1630-1638, 2017 | 323 | 2017 |
Simon A BergerHeidelberg Institute for Theoretical Studies (HITS gGmbH)Verified email at h-its.org
