Shinichi Sunagawa: Katalogdaten im Herbstsemester 2019

Name	Herr Prof. Dr. Shinichi Sunagawa
Lehrgebiet	Mikrobiomforschung
Adresse	Institut für Mikrobiologie ETH Zürich, HCI F 417 Vladimir-Prelog-Weg 1-5/10 8093 Zürich SWITZERLAND
Telefon	+41 44 633 61 55
E-Mail	ssunagawa@ethz.ch
URL	http://www.micro.biol.ethz.ch/research/sunagawa.html
Departement	Biologie
Beziehung	Ausserordentlicher Professor

Nummer	Titel	ECTS	Umfang	Dozierende
551-1109-00L	Seminars in Microbiology	0 KP	2K	M. Aebi, H.‑M. Fischer, W.‑D. Hardt, M. Künzler, J. Piel, S. Sunagawa, J. Vorholt-Zambelli
Kurzbeschreibung	Seminars by invited speakers covering selected microbiology themes.
Lernziel	Discussion of selected microbiology themes presented by invited speakers.
551-1119-00L	Microbial Community Genomics Number of participants limited to 6. 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 KP	7G	S. Sunagawa
Kurzbeschreibung	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.
Lernziel	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.
Voraussetzungen / Besonderes	Basic knowledge in [R] (e.g. indroductory course) and/or UNIX is required. Participants should bring their own laptop computer.
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.