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Department of Clinical Medicine
Course

NEUROSYSM930 - Applied bioinformatics and data analysis in medical research (2024)

Get the knowledge central for successful application of bioinformatics and data analysis in clinical research on human tissue.

Futuristic illustration of a brain and data analysis.
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The course will focus on practical aspects and methodological considerations related to the processing of human derived data genomic and transcriptomic data. The course will be composed of seminars, lectures, and hands-on tutorials given by clinicians and researchers based on real-life scenarios. We will cover basic multivariate statistical tools, choice of appropriate statistical models and model design / choice of covariates.  The course will provide an inspiring environment, promoting networking between trainees and researchers, promoting career development, and encouraging future collaborations. 

The course will be highly beneficial for all participants with an interest in bioinformatics, biology, medicine, or clinical research in general. 

Who: The course will be highly beneficial for all participants with an interest in bioinformatics, biology, medicine, or clinical research in general. It is open to researchers, postdocs, PhD students, master students, students enrolled in the Medical Student Research Program, and others interested in the topic. A good familiarity with R scripting and basic statistical notions are required. Familiarity with next-generation sequencing and a basic understanding of molecular biology and/or genetics are desirable.   

Place: Campus UiB / Haukeland University Hospital, personal attendance.

When: December 4-6, 2024. Lunch will be provided.

Max participants: 20 

Deadline for registration: September 1. Non-UiB students register through Søknadsweb, and UiB students register through Studentweb

Program: not yet available.

ECTS: 3, for full attendance in the course including the tasks. 

Organizers: Dr. Gonzalo Nido og Dr. Dimitros Kleftogiannis have the academic responsibility.

More information and pre-reading list: on this website