Digitalization of agriculture requires upskilling and confidence-
building for students coming from field or wet-lab work. In this course
the students will be taught good working habits for data analyses in
general and bioinformatics in particular. They will learn about data
management and FAIR (Findable, Accessible, Interoperable, Reusable)
practices, use a range of basic to advanced reproducible data analyses
tools, and gain confidence in integrating computational approaches into
their biological research. The course is run jointly with the MedBioInfo
graduate school (www.medbioinfo.se). GS-VMAS students start with a 1-
week introductory module. The second week is for an assignment – at-home
for MedBioInfo, on location for GS-VMAS. The third week is an advanced
module, which is on-location for both cohorts.
Prerequisites
Admitted to a postgraduate program in animal science, biology, veterinary
medicine, food science, nutrition, nursing, or related subjects, or to a
residency program in veterinary science. Alternatively, admitted to a
postgraduate program in Bioinformatics or Biological field with a
significant computational aspect.