Computational Systems Biology of Cancer

Systems biology approaches help to analyse molecular mechanisms in silico. Despite availability of cancer high-throughput (omics) and imaging data, they are not fully exploited to provide the clue on deregulated mechanisms that would guide to better patient’s stratification and to specific treatment in cancer and beyond.

We invited leading international speakers from different fields in cancer systems biology that will expose an umbrella of systems biology methods from data analysis to modelling and integration of rationalized treatment schemes into the clinical trials. 

The course will contain the following sessions:

Session 1: Pathway databases and networks resources in cancer
Session 2: Visualisation and interpretation of cancer data
Session 3: Cancer genomics
Session 4: Multi-level omics data analysis and tumour heterogeneity 
Session 5: Mathematical modelling of signalling networks in cancer
Session 6: integration of multi-level data into models of cancer signalling
Session 7: Treatment response prediction and patient stratification
Session 8: Single cell data analysis in cancer
Session 9: Bioimage informatics for cancer research 
Session 10: Cancer evolution studies

The success of the course relies on the active contribution of participants who are expected to participate in the following events:

-Presentation of their own scientific project with a flash presentation and a poster
-Participation in the Journal Club to present and discuss milestone papers in the cancer systems biology field
-Participation in the "career development" workshop during the Saturday morning session.

CRC Taylor&Francis Publishing Group sponsored student’s prizes for best presentations and posters.