Biotechnology research generates large-scale data, and specifically genomics data. But can this data and/or information effectively be used to answer your industrial microbiological research question?
This course will teach you to consider and work with data-analysis strategies, which will provide an answer to many of your questions relating to available (micro)biological data. And the course will zoom in on important issues to consider when generating new data for your model system.
“Applied Microbial Genomics” deals with the use of microbial genomics to progress from a research question or problem, via data analysis and interpretation, to a potential solution to your problem. Topics for discussion focus on the choices confronting a researcher when (s)he is going to analyze or produce large (micro)biological data sets, with an emphasis on sequence data. Using lectures and hands-on work-shops, the lecturers will provide an understanding of how the answer to the research question may be pinpointed in the large expanse of data (e.g. sequence and gene annotations, literature and domain knowledge). Topics that are discussed include: data management, sequencing technologies, comparative genomics, transcriptome analysis and metabolic modelling. The question of when genomics experimentation is useful and when not, is also discussed.
The course is aimed at researchers active in the Agro-Food sector, for example an R&D laboratory of a food manufacturing company, a department for product improvement/development or industry utilizing fermentation processes. The course focusses on microbiological data (sequence and gene annotations). Education level is post-graduate. Affinity with data organization and analysis is desirable. Experience with bioinformatics is not necessary.
