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551-1299-00L 6 Credits BSC , MSC D-BIOL , D-MATH
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Introduction to Bioinformatics

Lecturers & Examiners: Dr. Matthias Gstaiger, Prof. Dr. Nicola Zamboni, Prof. Dr. Christian von Mering, Prof. Dr. Effy Vayena, Prof. Dr. Gunnar Rätsch, Dr. Andre Kahles, Dr. Berend Snijder, Prof. Dr. Shinichi Sunagawa
VVZ CR n/a

Last Updated: 2026-02-05 15:48:53

Abstract

This course introduces principle concepts, the state-of-the-art and methods used in some major fields of Bioinformatics. 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.

Objective

The course will provide students with 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 be able to access and analyse 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.

Content

Ethics: Case studies to learn about applying ethical principles in human genomics research Genomics: Genetic variant calling Analysis and critical evaluation of genome wide association studies Metagenomics: 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 Imaging: High throughput single cell imaging Image segmentation Automatic analysis of drug effects on single cell suspension (chemotyping)

General Information

Language
English
Levels
BSC , MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 150 minutes
Aids
None
Digital
The exam takes place on devices provided by ETH Zurich.

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture with exercise Introduction to Bioinformatics
Lecture: Mo 12-14 Exercises: Mo 14-16
  • Mon 11:45-13:30 (HPT C 103)
  • Mon 13:45-15:30 (HPT C 103)
4 h weekly

Offered In