Bioinformatics is the foundation of modern research, translating complex biological data into actionable insights by combining biology, computer science, and data analysis. Selecting the right ...

This lab accompanies the lecture, with hands-on practical assignments to achieve a firmer understanding of bioinformatics tools and principles. Assignments and a term project emphasize the application ...

The Lazypipe series is a collection of bioinformatics pipelines developed by our research group to enhance the discovery and analysis of viruses from metagenomic next-generation sequencing (mNGS) data ...

The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

Historical introduction and overview -- Collecting and storing sequences in the laboratory -- Alignment of pairs of sequences -- Introduction to probability and statistical analysis of sequence ...