053520 VU Algorithmic bioinformatics (2024S)

a. Aims: The students gain fundamental knowledge and understanding of the algorithms used in modern bioinformatics in theory and practice. The students can independently develop, apply and modify existing algorithms.
b. Content: The course aims at giving an overview about the different classes of algorithms and their application in bioinformatics like randomised algorithms, graph algorithms, brute force algorithms, dynamic programming, combinatorial algorithms, evolutionary tree reconstruction, clustering algorithms, combinatorial pattern matching, hidden Markov models and methods of computational proteomics.
c. Methods: Lectures, exercises about each lecture topic including programming, exercise discussion including students presenting their solutions.
REMARK: The lectures and exercise discussions will take place in presence, hybrid or in distance learning online, depending on the Corona/COVID-19 restrictions valid during the semester.