Syllabus
- Introduction. Existing nucleotide and protein databases.
- Sequence similarity of DNA, RNA, and proteins.
- Efficient searching in protein sequence databases.
- Searching motifs.
- Multiple sequence similarity.
- Construction of phylogenetic trees.
- Algorithms for learning the similarity of protein structures.
- Protein structure prediction.
Annotation
The lecture will introduce currently used algorithms and approaches for DNA, RNA and protein analysis. In particular, it will cover algorithms for sequence similarity modeling and structures of biomolecules, phylogenetic analysis and structure prediction.
Students will also learn what the major repositories of related biological data exist, what the structure of these data is, and how to work with them at the programmatic level.