Topics in Computational Biology

What it is about

You will gain an overview of methods in Computational Biology, such as gene sequence analysis, image analysis, statistical network modeling, and dynamic path modeling. You will learn to assess the strengths and limitations of the different procedures and to select appropriate computational approaches for concrete biological or biomedical questions.

What you will be able to do

• Overview of selected machine-learning and modeling methods in Computational Biology
• Understanding advantages and limits of the respective methods
• Selection of suitable computational/system biology approaches for given problems
• Knowledge of concrete applications and current research projects

What the module consists of

• LectureIntroduction and presentation of various research topics and methods by group leaders
• TutorialHands-on exercises on the lecture topics; participation is mandatory

Teaching method

• Lecture seriesConveying theoretical foundations and presentation of ongoing research projects
• Accompanying exercise coursesPractical implementation of lecture content and direct interaction with instructors; preparation for possible research projects