Inference of Many-Taxon Phylogenies
Abstract:
Phylogenetic trees are tree topologies that represent the evolutionary history of a set of organisms. In this thesis, we address computational challenges related to the analysis of large-scale datasets with Maximum Likelihood based phylogenetic inference. We have approached this using different strategies: reduction of memory requirements, reduction of running time, and reduction of man-hours.
| Zugehörige Institution(en) am KIT | Institut für Theoretische Informatik (ITI) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2014 |
| Sprache | Englisch |
| Identifikator | urn:nbn:de:swb:90-414190 KITopen-ID: 1000041419 |
| Verlag | Karlsruher Institut für Technologie (KIT) |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Informatik (INFORMATIK) |
| Institut | Institut für Theoretische Informatik (ITI) |
| Prüfungsdaten | 03.06.2014 |
| Schlagwörter | Phylogenetic Inference, Maximum Likelihood, GPUs, Genomics, Large-scale datasets |
| Referent/Betreuer | Stamatakis, A. |