Alexandros Stamatakis mainly focuses on Phylogenetic tree, Data mining, Phylogenetics, Software and Tree. His Phylogenetic tree research incorporates elements of Zoology, Statistics and Inference. His Data mining research is multidisciplinary, incorporating perspectives in Poisson distribution, Algorithm, Set and Reference alignment.
His study on Phylogenetics also encompasses disciplines like
Alexandros Stamatakis mostly deals with Phylogenetic tree, Tree, Phylogenetics, Parallel computing and Inference. His Phylogenetic tree study integrates concerns from other disciplines, such as Evolutionary biology, Theoretical computer science, Data mining, Artificial intelligence and Algorithm. His Data mining research incorporates themes from Set and Missing data.
The various areas that Alexandros Stamatakis examines in his Phylogenetics study include Taxon, Genome, Computational biology and Metagenomics. As part of one scientific family, Alexandros Stamatakis deals mainly with the area of Parallel computing, narrowing it down to issues related to the Scalability, and often Code, Software and Cluster analysis. His work carried out in the field of Inference brings together such families of science as Bayesian inference, Maximum likelihood, Statistics, Heuristics and Computation.
His main research concerns Phylogenetic tree, Phylogenetics, Evolutionary biology, Tree and Phylogenetic inference. His Phylogenetic tree research is multidisciplinary, incorporating elements of Set, Inference, Data mining and Leverage. His studies in Phylogenetics integrate themes in fields like DNA and DNA sequencing.
As a member of one scientific family, Alexandros Stamatakis mostly works in the field of Tree, focusing on Parallel computing and, on occasion, Maximum likelihood. His work investigates the relationship between Scalability and topics such as Code that intersect with problems in Software. His Statistics study incorporates themes from Phylogenomics and Robustness.
Alexandros Stamatakis mainly investigates Phylogenetic tree, Phylogenetics, Evolutionary biology, Snapshot and Degree of confidence. His Phylogenetic tree research includes themes of Information retrieval and Environmental DNA. His study on Phylogenetic network is often connected to Type, Pandemic and Betacoronavirus as part of broader study in Phylogenetics.
His Evolutionary biology research is multidisciplinary, relying on both Taxonomy and DNA. His Snapshot research includes elements of Pangolin and Phylogenetic inference.
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RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
A Rapid Bootstrap Algorithm for the RAxML Web Servers
Alexandros Stamatakis;Paul Hoover;Jacques Rougemont.
Systematic Biology (2008)
ARB: a software environment for sequence data
Wolfgang Ludwig;Oliver Strunk;Ralf Westram;Lothar Richter.
Nucleic Acids Research (2004)
PEAR: a fast and accurate Illumina Paired-End reAd mergeR
Jiajie Zhang;Kassian Kobert;Tomasÿ Flouri;Alexandros Stamatakis.
Phylogenomics resolves the timing and pattern of insect evolution
Bernhard Misof;Shanlin Liu;Karen Meusemann;Ralph S. Peters.
A general species delimitation method with applications to phylogenetic placements
Jiajie Zhang;Paschalia Kapli;Pavlos Pavlidis;Alexandros Stamatakis.
Whole-genome analyses resolve early branches in the tree of life of modern birds
Erich D. Jarvis;Siavash Mirarab;Andre J. Aberer;Bo Li;Bo Li;Bo Li.
RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees
A. Stamatakis;T. Ludwig;H. Meier.
RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference.
Alexey M Kozlov;Diego Darriba;Tomáš Flouri;Benoit Morel.
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