Ab 2. November 2020 findet das Herbstsemester 2020 online statt. Ausnahmen: Veranstaltungen, die nur mit Präsenz vor Ort durchführbar sind.
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Nicola Zamboni: Katalogdaten im Herbstsemester 2018

NameHerr Prof. Dr. Nicola Zamboni
Inst. f. Molekulare Systembiologie
ETH Zürich, HPM H 45
Otto-Stern-Weg 3
8093 Zürich
Telefon+41 44 633 31 41

551-1153-00LSystems Biology of Metabolism
Number of participants limited to 15.
4 KP2VU. Sauer, N. Zamboni, M. Zampieri
KurzbeschreibungStarting 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.
LernzielDevelop a deeper understanding of how relevant biological problems can be solved, thereby providing advanced insights to key experimental and computational methods in systems biology.
InhaltThe 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.
SkriptScript and original publications will be supplied during the course.
Voraussetzungen / BesonderesThe 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 Belegung eingeschränkt - Details anzeigen
Number of participants limited to 50.
6 KP4GS. Sunagawa, M. Gstaiger, A. Kahles, G. Rätsch, B. Snijder, E. Vayena, C. von Mering, N. Zamboni
KurzbeschreibungThis 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.
LernzielThe 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)
Voraussetzungen / BesonderesBringing your own laptop is a prerequisite for taking this course.