We invite participants enthusiastic about science, new technologies, biology, big data analysis, and those curious to learn new things. The School will introduce participants to the latest advances in omics technologies and most commonly used bioinformatics tools and methods to analyse big data. Hands-on sessions will give participants the opportunity to reinforce the analysis concepts they learned in smaller groups based on their field of interest. The participants will also have a chance to get advice related to their own research questions. This School is intended for individuals working in life/biomedical sciences with little or none experience in bioinformatics.

Topics:

• Protein structure analysis, drug design and virtual screening
• MS proteomics and metabolomics
• Next-generation sequencing and data repositories
• GWAS
• Pharmacogenomics
• Transcriptomics
• Epigenomics
• Microbiome
• Introduction to data analysis and data visualization (R, Galaxy, PyMOL, PyMod)

This year, the School will be divided in two parts - first one will be more focused on protein analysis, while the second one will be more oriented towards analysis of nucleic acids. Both parts will have an integrated section about the basic and advanced methods for data analysis and data visualization. There will be an option to apply for only one part or for both parts, depending on the research interests.

The School will welcome 20 – 30 participants (young researchers – master students, PhD students, postdocs; but experienced researchers are also welcome!). No prior computational experience is required.