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.

• Requires participation in the lecture “Algorithms in Genome Research” or similar.
• Beside regular and active participation in the course, each student gives a short (15min) presentation and presents their results to the other participants.

Putative Schedule below; may be subject to change.

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