In this course, we explore how deep learning is changing the way we understand and analyze biological sequences. We start by building a solid foundation in how neural networks actually work, teaching you how to use these models for sequence analysis and, more importantly, how to measure if their results are truly accurate. Once the basics are covered, we dive into practical biological questions through a series of hands-on modules. You will work on real-world tasks like identifying gene structures, predicting how mutations might affect an organism, and even designing new proteins from scratch. Throughout the term, you won’t just be reading about these methods; you will be running research-grade tools and large-scale models on the university's high-performance computing cluster. By working with public datasets and professional workflows, you will gain the technical confidence and practical experience needed to apply modern computational methods to complex biological problems.
- Dozent/in: Katharina Hoff