Registration and detailed course syllabus: http://sysmedicine.com/courses/phd2020/
Responsible teacher/s: Adil Mardinoglu, Muhammad Arif
Contact information for questions regarding the course: muhammad.arif@localhost
A course fee of 2000 SEK will be invoiced to accepted participants (includes the study material, coffee, and lunches).
For courses with full support the course fee is calculated by the course coordinator
For courses with financial support, the fee is calculated from the cost of the food
The course will have a focus on omics analysis and how these data are analysed using different methods. Concepts of proteomics, transcriptomics, metabolomics and metagenomics will be presented and how biological networks can be used for integration of high-throughput omics data.
The course will further give insight into how metabolic networks can be reconstructed from biochemical and genomic information. Topological analysis of large genome-scale metabolic models (GEM) as well as Integrated Networks (INs) will be performed. Simulation of GEMs and INs will be performed. Throughout the course there will be examples from studies of human and gut microbiome in different clinical and environmental conditions
Guest lecturers will also attend the course. There will be a mini symposium on one day where leaders in the field will have keynote lectures.
The course is addressed to PhD students (prioritized), postdocs, researchers and other employees within life science field, curious about the use of systems biology and omics data in their research.
All PhD students (prioritized), postdocs, researchers and other employees within life science field. No prior experience is required, but priority will be given to participant with projects with omics data. Good computer literacy is expected, but no programming experience is required.
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