Nicola Zamboni: Katalogdaten im Herbstsemester 2019 |  |
| Name | Herr Prof. Dr. Nicola Zamboni |
| Adresse | Inst. f. Molekulare Systembiologie ETH Zürich, HPM H 45 Otto-Stern-Weg 3 8093 Zürich SWITZERLAND |
| Telefon | +41 44 633 31 41 |
| zamboni@imsb.biol.ethz.ch | |
| Departement | Biologie |
| Beziehung | Titularprofessor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 551-1153-00L | Systems Biology of Metabolism Number of participants limited to 15. | 4 KP | 2V | U. Sauer, N. Zamboni, M. Zampieri | |
| Kurzbeschreibung | Starting 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. | ||||
| Lernziel | Develop a deeper understanding of how relevant biological problems can be solved, thereby providing advanced insights to key experimental and computational methods in systems biology. | ||||
| Inhalt | The 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. | ||||
| Skript | Script and original publications will be supplied during the course. | ||||
| Voraussetzungen / Besonderes | The 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. | ||||
| 551-1299-00L | Introduction to Bioinformatics  | 6 KP | 4G | S. Sunagawa, M. Gstaiger, A. Kahles, G. Rätsch, B. Snijder, E. Vayena, C. von Mering, N. Zamboni | |
| Kurzbeschreibung | 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. | ||||
| Lernziel | 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. | ||||
| Inhalt | 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) | ||||
| Voraussetzungen / Besonderes | Course participants have already acquired basic programming skills in Python and R. Students will bring and work on their own laptop computers, preferentially running the latest versions of Windows or MacOSX. | ||||