From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence.
Please note the information provided by the lecturers via e-mail.

Effy Vayena: Catalogue data in Autumn Semester 2018

Name Prof. Dr. Effy Vayena
Dep. Gesundheitswiss. und Technol.
ETH Zürich, HOA H 12
Hottingerstrasse 10
8092 Zürich
Telephone+41 44 632 83 01
DepartmentHealth Sciences and Technology
RelationshipFull Professor

551-1299-00LIntroduction to Bioinformatics Restricted registration - show details
Number of participants limited to 50.
6 credits4GS. Sunagawa, M. Gstaiger, A. Kahles, G. Rätsch, B. Snijder, E. Vayena, C. von Mering, N. Zamboni
AbstractThis course introduces principle concepts, the state-of-the-art and methods used in the field of Bioinformatics. Major topics include: genomics, metagenomics, network bioinformatics, and imaging. Lectures are accompanied by practical exercises that involve the use of common bioinformatic methods and basic programming.
ObjectiveThe course will provide students with the theoretical background in the area of genomics, metagenomics, network bioinformatics and imaging. In addition, students will acquire basic skills in applying modern methods that are used in these sub-disciplines of Bioinformatics. Students will thus be able to access and analyze DNA sequence information, construct and interpret networks that emerge though interactions of e.g. genes/proteins, and extract information based on computer-assisted image data analysis. Students will also be able to assess the ethical implications of access to and generation of new and large amounts of information as they relate to the identifiability of a person and the ownership of data.
Case studies to learn about applying ethical principles in human genomics research

Genetic variant calling
Analyze and critical evaluate genome wide association studies

Reconstruction of microbial genomes
Microbial community compositional analysis
Quantitative metagenomics

Network bioinformatics
Inference of molecular networks
Use of networks for interpretation of (gen)omics data

High throughput single cell imaging
Image segmentation
Automatic analysis of drug effects on single cell suspension (chemotyping)
Prerequisites / NoticeBringing your own laptop is a prerequisite for taking this course.