Nicola Zamboni: Katalogdaten im Herbstsemester 2022 |  |
| 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 | Bioinformatics  | 6 KP | 4G | S. Sunagawa, P. Beltrao, A. Blasimme, V. Boeva, A. Kahles, C. von Mering, N. Zamboni | |||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Students will study bioinformatic concepts in the areas of genomics, metagenomics, proteomics, biological networks, biostatistics and bioethics. Through integrated lectures, practical hands-on sessions and homework assignments, students will also be trained in analytical and programming skills to meet the emerging increase in data-driven knowledge generation in biology in the 21st century. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will have an advanced understanding of the underlying concepts behind modern bioinformatic analyses at genome, metagenome and proteome-wide scales. They will be familiar with the most common data types, where to access them, and how to analytically work with them to address contemporary questions in the field of biology. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Course participants have already acquired basic programming skills in UNIX, Python and R. Students bring their own computer with keyboard, internet access (browser) and software to connect to the ETH network via VPN. | ||||||||||||||||||||||||||||||||||||||||||||||||||
Kompetenzen |
| ||||||||||||||||||||||||||||||||||||||||||||||||||