Praktikum Genomorientierte Bioinformatik (GoBI) (IN5027)
Summary
This intensive course centers on a project phase where students dive into comparative genomics. Teams will explore lesser-known genes, primarily in mammals and hexapods—groups chosen for their extensive genomic data and clear gene-function links. Students will identify genes of interest, annotate them, and trace their evolutionary paths using advanced bioinformatics and deep learning tools. Theoretical and practical aspects from evolutionary theory to molecular biology will be integrated, providing a comprehensive understanding of genomics applications.
Students will use the knowledge and toolkit provided in the lectures (or go beyond it for 1.0) to de-novo annotate a family of genes of their choice in a set of Eukaryotic genomes (10-30 depending on the complexity of the task). During the lecture period, there will be small exercises to prepare them for it.
We have a capacity of 20 students this year.
Times
The sessions will take place in person, and advisory appointments will be offered digitally.
Expected regular meetings during the lecture period:
Tuesdays from 14:00 to 16:00, from October to February
Expected block sessions during the lecture-free period:
Tuesdays from 14:00 to 16:00 in March and April
Lecturer (assistant) | |
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Duration | 10 SWS |
Term | Wintersemester 2025/26 |
Language of instruction | German |
Dates | See TUMonline |
Admission information
Note: Registration through Prof. Heun. https://www.bio.ifi.lmu.de/studium/seminare-praktika/
Objectives
Description
- The emphasis is on getting hands-on experience in bioinformatic analysis of genomic and proteomic data
- How to get and understand genomic and proteomic sequence information
- How to find genes in genomes and how to compare them
- How to get protein data from genomic data and how to analyze it
- Use protein language models to generate sequence embeddings as input features for the prediction devices
- Training a basic machine learning classifier