Course for international guest/part time students
- Faculty
- Faculty of Science
- Organization
- TTK Department of Computer Science
- Code
- bioinf1u0um17gm
- Title
- Bioinformatics (p)
- Usual semester
- Autumn
- Published semester
- 2025/26/2
- ECTS
- 3
- Language
- hu
- Learning outcomes
- Knowledge: getting familiar with the main notions of bioinformatics Ability: to understand and use bioinformatics Attitude: the need to deepen the applied mathematical knowledge, to gain new applied mathematical skills, to develop competencies. Aspiration to apply the mathematical knowledge for a wide range of problems Autonomy and Responsibility: based on the gained knowledge in bioinformatics, the students are able to decide which tools are the most suitable to solve applied problems
- Course content
- Gene sequencing techniques. Introduction to metagenomics. Microbial diversity. Assembly techniques and levels. Re-sequencing and de novo sequencing. Hashing. The Burrows-Wheeler transformation. Graph theory methods: Hamilton, Euler and De Bruijn graphs. Distance of series: Hamming and Levenshtein distance. Dynamic programming. Subsequence search: Knuth-Morris-Pratt and Boyer-Moore algorithm. Suffix trees. Sequence alignment: Needleman--Wunsch and Smith--Waterman algorithms. BLAST and its variants. From genes to proteins: gene annotation. Markov models. Introduction to molecular structures. Protein-small molecule docking. Protein-protein docking. Protein interaction networks.
- Assessment method
- term grade
- Bibliography
- lecture notes