A5084095365- Genomics and Phylogenetic Studies
- Evolution and Paleontology Studies
- Genetic diversity and population structure
- Research Data Management Practices
- Scientific Computing and Data Management
- Big Data Technologies and Applications
Heidelberg Institute for Theoretical Studies
2021-2024
Abstract Phylogenetic inferences under the maximum likelihood criterion deploy heuristic tree search strategies to explore vast space. Depending on input dataset, searches from different starting trees might all converge a single topology. Often, though, distinct infer multiple topologies with large log-likelihood score differences or yield topologically highly distinct, yet almost equally likely, trees. Recently, Haag et al. introduced an approach quantify, and implemented machine learning...
Abstract Phylogenetic networks are used to represent non-treelike evolutionary scenarios. Current, actively developed approaches for phylogenetic network inference jointly account evolution and incomplete lineage sorting (ILS). Unfortunately, this induces a very high computational complexity. Hence, current tools can only analyze small data sets. We present NetRAX, tool maximum likelihood of in the absence sorting. Our leverages state-of-the-art methods efficiently computing function on...