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Research Groups

(Cezmi Akdis)

B Cell Immunology
(Willem van de Veen)

Immune Metabolism
(Milena Sokolowska)

Immune Regulation
(Mübeccel Akdis)

Molecular Allergology
(Katja Bärenfaller)

Vaccine Development
(Claudio Rhyner)


International Networks

Diagnostic Routine




Biomedical Data Mining

BME 351 Blockkurs FS 2022

Credits: 6 ECTS; maximum number of participants: 10;
FS 2022; Block: 7.6. – 24.6.2022


PD Dr. Katja Baerenfaller http://www.siaf.uzh.ch/molecular_allergology_katja.html
Dr. Milena Sokolowska http://www.siaf.uzh.ch/immune_metabolism.html

The learning target of this block course is to enable students to mine large and complex biomedical datasets with the aim to identify biologically relevant information. The course will be held one week on-site in Davos and 2 weeks online. Due to the ongoing COVID pandemic the course will be held Online again with lectures and regular tutorials via Microsoft Teams or Zoom, and additionally using the OLAT platform. During the course, the students will work on real experimental data of current research projects in the laboratory working on lists of tasks to guide them through the process. They will get lectures on Transcriptomics, Proteomics and FACS that are used in the laboratory to generate biomedical datasets, and introductions into the use of literature information, different databases and a variety of analysis tools. By the end of the course, a report needs to be handed in together with information on the data mining efforts.

Costs: Housing in Davos will partially be refunded by UZH.

Prerequisites: The course is open for Master or advanced Bachelor students of Biomedicine and Biology (basic studies in Biology or Biomedicine must be completed). A completed course on using R is recommended.

Registration: through the university registration tool or to katja.baerenfaller@siaf.uzh.ch .