Course Description
The Introduction to Phylogenetics and High-Performance Computing (HPC) course provides foundational knowledge and practical skills in evolutionary analysis using phylogenetic methods. Participants will explore the principles of phylogenetics, including tree construction, model selection, and interpretation, alongside an introduction to leveraging HPC resources for large-scale data processing. This course is designed to empower learners to analyze complex datasets efficiently and draw meaningful evolutionary insights.
Targeted at researchers, students, and bioinformatics professionals, the course blends theoretical concepts with hands-on practice, enabling participants to utilize modern tools and computational platforms effectively
What You’ll Learn?
- The basics of phylogenetic analysis, including tree-building methods such as maximum likelihood and Bayesian inference.
- How to select and apply appropriate substitution models for evolutionary studies.
- Practical experience with popular phylogenetic tools like MEGA, RAxML, and BEAST.
- An introduction to High-Performance Computing (HPC) for handling large-scale phylogenetic datasets.
- Workflow optimization and resource management in an HPC environment to improve computational efficiency.
Lessons:
