Shinichi Sunagawa: Catalogue data in Autumn Semester 2022 |
| Name | Prof. Dr. Shinichi Sunagawa |
| Field | Microbiome Research |
| Address | Institut für Mikrobiologie ETH Zürich, HCI F 417 Vladimir-Prelog-Weg 1-5/10 8093 Zürich SWITZERLAND |
| Telephone | +41 44 633 61 55 |
| ssunagawa@ethz.ch | |
| URL | http://www.micro.biol.ethz.ch/research/sunagawa.html |
| Department | Biology |
| Relationship | Associate Professor |
| Number | Title | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||
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| 551-1109-00L | Seminars in Microbiology | 0 credits | 2K | S. Sunagawa, W.‑D. Hardt, M. Künzler, J. Piel, J. Vorholt-Zambelli | |||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Seminars by invited speakers covering selected microbiology themes. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Discussion of selected microbiology themes presented by invited speakers. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| 551-1119-00L | Microbial Community Genomics  Number of participants limited to 10. Prerequisite: Basic knowledge in [R] (e.g. indroductory course) and/or UNIX is required. Participants should bring their own laptop computer. The enrolment is done by the D-BIOL study administration. | 6 credits | 7P | S. Sunagawa | |||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction to current research methods in the analysis of microbial communities using Next Generation Sequencing approaches - metagenomics. Practical experience of work in a computational laboratory and an introduction to scientific programming. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Gain skills in data analysis and presentation for oral and written reports. Lectures introducing state-of-the-art in respective research areas and community microbiology, which is the target of ongoing research. Start to assess current literature. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Basic knowledge in [R] (e.g. indroductory course) and/or UNIX is required. Participants should bring their own laptop computer. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| 551-1299-00L | Bioinformatics | 6 credits | 4G | S. Sunagawa, P. Beltrao, A. Blasimme, V. Boeva, A. Kahles, C. von Mering, N. Zamboni | |||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||
Competencies |
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