In this course, practical applications and issues in concrete problem statements and handling real data sets will be addressed. The following topics are intended: assembly, scaffolding, annotation, gene prediction, comparative analysis, etc.
Theoretical knowledge of the students shall be supplemented by practical aspects such as setting up and running existing tools, implementing small own tools, pre- and postprocessing, and critical interpretation of results. A continuously enriched visualization of the data and the obtained results will also guide through the course.
This class will be taught in German or English if needed.
Literature will be made available during the class in form of an online list to relevant original articles.