Anton Wutz: Catalogue data in Autumn Semester 2020

Name Prof. Dr. Anton Wutz
FieldGenetics
Address
Inst. f. Molecular Health Sciences
ETH Zürich, HPL E 12
Otto-Stern-Weg 7
8093 Zürich
SWITZERLAND
Telephone+41 44 633 08 48
E-mailawutz@ethz.ch
DepartmentBiology
RelationshipFull Professor

NumberTitleECTSHoursLecturers
551-1201-00LComputational Methods in Genome and Sequence Analysis Restricted registration - show details
Number of participants limited to 7.
The enrolment is done by the D-BIOL study administration.

General safety regulations for all block courses:
-Whenever possible the distance rules have to be respected
-All students have to wear masks throughout the course (keep reserve masks ready)
-The installation and activation of the Swiss Covid-App is highly encouraged
-Any additional rules for individual courses have to be respected
-Students showing any COVID-19 symptoms are not allowed to enter ETH buildings and have to inform the course responsible
6 credits7PA. Wutz
AbstractThis course aims to provide students with a comprehensive overview of computational methods for sequence analysis and assist with developing skills for application of computational approaches by experimental scientists in the life sciences.
ObjectiveMethods for analyzing animal genomes are increasingly becoming important for applications in human health and biotechnology suggesting that the experience will be useful to develop relevant expertise for a broad range of functions. Students will have the opportunity to advance their knowledge in programming by focusing on algorithms for genome and gene sequence analysis. A major goal of the course will be to lead the student to an independent and empowered attitude towards computational problems. For reaching this goal the students will work on an implementation of a solution for a set real-world problem in genome and sequence analysis under guided supervision.
Content•Understanding the information in biological sequences and quantifying similarity
•Introduction to algorithms for sequence comparison and searches
•Implementation of sequence comparisons and searches in Python
•Accessing data formats associated with genome sequence analysis tasks
•Understanding the anatomy of a real world sequence analysis project
•Applying tools for sequence alignment and estimating error rates
•Ability to implement a solution to a problem in sequence analysis using Python
•Accessing genome annotation and retrieving relevant information in Pandas
•Application of Genomic intervals and arrays for sequence analysis with HTSeq

The course will consist of a series of lectures, assignments for implementing elementary tasks in Python, project development and discussion workshops, and 3 and a half week of practical work implementing a Pythons script as a solution to a real world problem associated with sequence analysis. At the end of the course students will explain their solutions and demonstrate the functionality of their implementations, which will then be discussed and commented on by the group. It is expected that students will be able to apply the knowledge to improve on concrete problems.
Prerequisites / Notice- It is recommended to bring your own computer with a Python installation to the course
- simple computers can be provided
- Programming basics with Python
551-1709-00LGenomic and Genetic Methods in Cell and Developmental Biology Restricted registration - show details
Number of participants limited to 8.
The enrolment is done by the D-BIOL study administration.

General safety regulations for all block courses:
-Whenever possible the distance rules have to be respected
-All students have to wear masks throughout the course (keep reserve masks ready)
-The installation and activation of the Swiss Covid-App is highly encouraged
-Any additional rules for individual courses have to be respected
-Students showing any COVID-19 symptoms are not allowed to enter ETH buildings and have to inform the course responsible
6 credits7PA. Wutz, M. Kopf, T. Schroeder
AbstractThis course aims to provide students with a comprehensive overview of mammalian developmental biology and stem cell systems both on the theoretical as well as the experimental level. Centering the course on genetic and genomic methods engages the students in contemporary research and prepares for future studies in the course of semester and master projects.
Objective- Understanding mammalian development
- Introduction to stem cells systems
- Working with cultured cells
- Translational aspects of mammalian cell biology
ContentThe course will consist of a series of lectures, assay assignments, project development and discussion workshops, and 2 and a half week of lab work with different mammalian cell systems embedded in real life research projects. At the end of the course students will take an exam consisting of questions on the topic of the lectures and workshops. It is expected that students will be able to apply the knowledge to concrete problems.