We designed the School's programme to provide you a more comprehensive understanding of the different computational approaches and tools utilized in the analyses of various omics data. You will get a deeper knowledge by participating in a collaborative project on a topic of your choice. Overall, we want to make this School unique to you in order to give you a nearly individualized experience that will help you learn the most. There will also be plenty of opportunity for you to talk with our mentors about your individual research questions and data.

 

Our lecturers and mentors of this year’s School are from (currently confirmed):

  • Department of Biochemical Sciences, Sapienza University, Rome, Italy
  • Bioinformatics group, Faculty of Science, University of Zagreb, Croatia
  • Laboratory for Molecular Biomedicine, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
  • Centre for Genomics and Oncological Research (GENYO), Pfizer-University of Granada-Junta de Andalucía, Granada, Spain
  • School of Medicine, University of Split, Croatia
  • Mediterranean Institute for Life Sciences (MedILS), Split, Croatia

The programme consists of:

  • Educational sessions (for participants attending both parts of the School, during Part II they will have an option to attend additional advanced lecture and training on how to use Linux):
    • Part I:
      • Introduction to statistics
      • Introduction to protein structure analysis, drug design and virtual screening
      • Introduction to proteomics and metabolomics
    • Part II:
      • Introduction to statistics
      • Introduction to next generation sequencing (NGS) & how to design your experiment
      • Introduction to systems biology and multi-omics approach

 

  • Practical sessions (for participants attending both parts of the School, during Part II they will have an option to attend additional advanced training on how to use Linux and how to create networks in Cytoscape):
    • Introduction to statistics
    • Improving data visualization skills

 

  • Project work – groups of up to 5 participants with 2 group mentors (all projects are developed to be appropriate for complete beginners, however, certain projects can be more advanced, depending on the group composition):
    • Part I:
      • Protein sequence and structure analysis
      • Protein structure prediction
      • Drug design
      • Proteomics & metabolomics
    • Part II:
      • GWAS
      • Pharmacogenomics
      • Transcriptomics (single-cell, spatial)
      • Epigenomics
      • Microbiome

 

  • Group presentations of project work

 

Please find full preliminary programmes for Part I and Part II.