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The course will teach advanced methods and applications of computational biology for highthroughput data analysis in molecular biology. Individual variation of genomes will be covered, and linked to clinical and phenotypical data such as cancer types for pathway level analysis. State of the art proteomics and small molecule data and their networks will be integrated. Methods will be introduced, but the course focuses on question driven analysis by integrating a multitude of data.
This course is suitable for early stage experimental biologists and clinical scientists facing large-scale data analysis and computational scientists with previously limited exposure to clinical and experimental biology.
- Next generation sequencing and proteomics
- Downstream analysis for pathways and phenotypic information
- Integrated hands-on research projects
- Genomic & Computational Biology
- Systems Biology
- Cancer Genomics
Practical skills for data analysis of large-scale biological data will be developed in seven half-day sessions and applied in a joint research project. The course provides an overview of many aspects of computational biology. Interactive sessions will be dedicated to practical questions of participants, in a small joint project where possible.