Design and Implementation of I/O-Efficient Taxa Quartets Counting in the Context of Phylogenetic Analysis
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BiBTeXSEEK ID: https://publications.h-its.org/publications/319
Research Groups: Computational Molecular Evolution
Publication type: Master's Thesis
Citation: Computer Science, University of Frankfurt, 2018, Ulrich Meyer(Tutor), Alexandros Stamatakis(HITS Tutor)
Date Published: 2018
Registered Mode: imported from a bibtex file
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Created: 7th Sep 2019 at 12:04
Last updated: 5th Mar 2024 at 21:23
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Research Groups: Scientific Databases and Visualisation, Astroinformatics, Data Mining and Uncertainty Quantification, Groups and Geometry, Natural Language Processing, Computational Molecular Evolution, Computational Carbon Chemistry, Physics of Stellar Objects, Playground, Molecular and Cellular Modeling, Stellar Evolution Theory, SIMPLAIX
Institutions: Heidelberg Institute for Theoretical Studies
The Computational Molecular Evolution (CME) group focuses on developing algorithms, computer architectures, and high-performance computing solutions for bioinformatics.
Public web page: Not specified
