23 May – 3 June 2022
Two-weeks module, daily 10-18 (CEST)
Kiel University (CAU), Kiel, Germany
SymbNET will cover all travel and accommodation expenses for SymbNET participants.
The module is aimed at teaching basic methods for the analysis of genomic data. This includes an overview of the theory and practice of computational methods for the identification and characterization of genetic elements from DNA sequence data. The course focuses on basic approaches for analysing genomic data.
Learning Outcome: The students will gain basic knowledge in the analysis of genomic and transcriptomic data. This includes data mining of biological databases, phylogenetics, microbial genome assembly and annotation, microbial biodiversity analysis, analysis of genomic structural variants, analysis of transcriptomes. The students will be introduced to the commonly used computer software for the analysis and research of genomics and transcriptomics. The examination in the course is in the form of a written protocol.