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.
The objective of the course is to promote integration of computational approaches into biological and clinical labs. We aim to help participants to improve interpretation and use of omics and imaging data that nowadays are accumulated in any biological or medical lab.
Career development workshop (half a day on Saturday)
Introduction to career development opportunities in computational systems biology of cancer. Presentation of career paths and assistance of students by (round tables):
-Invited speakers
-Pharma representatives
---
80 personnes.
Selections are based on applications.
All successful applicants are requested to present a flash presentation and a poster on their scientific research. Most significate abstract will be chosen for 15 minutes talks.
Application should include:
- CV (max. 1 page)
- Description of scientific topic in a form of abstract (max. 1 page)
- Motivation letter explaining objectives to attend the course (max. 1 page)
- 1-2 reference contacts (for Master and PhD students only)
Scientific papers within the main topics covered by the course will be sent to the accepted applicants for presentations during the journal club.
Gregory BATT Inria - Saclay - Institut Pasteur - FR
Niko BEERENWICKEL ETH - CH
Tom FREEMAN The Roslin Institute - UK
Dominic GRÜN Max Planck Institute - DE
Henning HERMJAKOB EMBL - EBI - UK
Jan KORBEL EMBL - DE
Kathleen MARCHAL Ghent University - BE
Livia PERFETTO EMBL - EBI - UK
Julio SAEZ-RODRIGUEZ EMBL - EBI - UK
Benno SCHWIKOWSKI Institute Pasteur - FR
Vassili SOUMELIS Institut Curie - INSERM - FR
Denis THIEFFRY IBENS - ENS - FR
Jean-Philippe VERT MINES - ParisTech - FR
Thomas WALTER MINES - ParisTech - FR
Lodewyk WESSELS National Cancer Institute - NL
Jana WOLF The Max Delbrück Center - DE
Andrei ZINOVYEV Institut Curie - INSERM - FR
Olli KALLIONIEMI Karolinska Institutet - SE
Alfonso VALENCIA Spanish National Bioinformatics Institute - SP
Emmauel BARILLOT Institut Curie - INSERM U900, Paris, France
Gregory BATT Inria - Saclay - Institut Pasteur, Paris, France
Inna KUPERSTEIN Institut Curie - INSERM U900, Paris, France
Vassili SOUMELIS Institut Curie - INSERM U932, Paris, France
Denis THIEFFRY Institut de Biologie de l'École Normale Supérieure, Paris, France
Jean-Philippe VERT Centre of Computational Biology, MINES - ParisTech, Paris, France
Thomas WALTER Centre of Computational Biology, MINES - ParisTech, Paris, France
Laurence CALZONE Institut Curie – INSERM U900, Paris, France
Tatiana POPOVA Institut Curie – INSERM U830, Paris, France
Andrei ZINOVYEV Institut Curie – INSERM U900, Paris, France
