Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Nicola Zamboni: Catalogue data in Autumn Semester 2018

Name Prof. Dr. Nicola Zamboni
Address
Inst. f. Molekulare Systembiologie
ETH Zürich, HPM H 45
Otto-Stern-Weg 3
8093 Zürich
SWITZERLAND
Telephone+41 44 633 31 41
E-mailzamboni@imsb.biol.ethz.ch
DepartmentBiology
RelationshipAdjunct Professor

NumberTitleECTSHoursLecturers
551-1153-00LSystems Biology of Metabolism
Number of participants limited to 15.
4 credits2VU. Sauer, N. Zamboni, M. Zampieri
AbstractStarting from contemporary biological problems related to metabolism, the course focuses on systems biological approaches to address them. In a problem-oriented, this-is-how-it-is-done manner, we thereby teach modern methods and concepts.
ObjectiveDevelop a deeper understanding of how relevant biological problems can be solved, thereby providing advanced insights to key experimental and computational methods in systems biology.
ContentThe course will be given as a mixture of lectures, studies of original research and guided discussions that focus on current research topics. For each particular problem studied, we will work out how the various methods work and what their capabilities/limits are. The problem areas range from microbial metabolism to cancer cell metabolism and from metabolic networks to regulation networks in populations and single cells. Key methods to be covered are various modeling approaches, metabolic flux analyses, metabolomics and other omics.
Lecture notesScript and original publications will be supplied during the course.
Prerequisites / NoticeThe course extends many of the generally introduced concepts and methods of the Concept Course in Systems Biology. It requires a good knowledge of biochemistry and basics of mathematics and chemistry.
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.
ContentEthics
Case studies to learn about applying ethical principles in human genomics research

Genomics
Genetic variant calling
Analyze and critical evaluate 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)
Prerequisites / NoticeBringing your own laptop is a prerequisite for taking this course.