Pedro Beltrao: Katalogdaten im Herbstsemester 2022 |
Name | Herr Prof. Dr. Pedro Beltrao |
Lehrgebiet | Rechnergestützte Systembiologie |
Adresse | Rechnergestützte Systembiologie ETH Zürich, HPM H 29 Otto-Stern-Weg 3 8093 Zürich SWITZERLAND |
Telefon | +41 44 633 36 88 |
beltrao@imsb.biol.ethz.ch | |
Departement | Biologie |
Beziehung | Ausserordentlicher Professor |
Nummer | Titel | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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