Computational molecular evolution
The need for effective and informed analysis of biological sequence data is increasing with the explosive growth of biological sequence databases. A molecular evolutionary framework is central to many Bioinformatics approaches used in these analyses. Additionally, explicit use of molecular evolutionary and phylogenetic analyses provides important insights in their own right, e.g., analysis of adaptive evolution in viruses providing clues of their interaction with host immune systems.
Towards this end, we provide graduate and post-graduate researchers with the theoretical knowledge and practical skills to carry out molecular evolutionary analyses on sequence data. The course entails data retrieval, alignment techniques, phylogeny reconstruction, hypothesis testing, and population genetic approaches. The course covers sessions on analysis of both protein and nucleotide sequences, including NGS data. However, we do not cover traditional NGS analyses (e.g., QC, read mapping, variant calling, assembly etc.) .