The 763rd MIB Seminar
(Joint Usage/Research Center for the Multi-stratified Host Defense System)
[Seminar in English]
Title
Computational oncology: is it data-driven or knowledge driven?
Speaker
Dr. Emmanuel Barillot
Director of Department
Institut Curie - INSERM U900 -
PSL Research University / Mines ParisTech, FRANCE
Date
Jan. 19 (Fri), 2018
16：00～17：00
Venue
Seminar Room 204, 2F, Biomedical Research Station
No.1 on the following linked map.
（http://www.kyushu-u.ac.jp/f/30074/Hospital_en-2017.pdf）
Abstract
While molecular and phenotypic data about tumors and models are accumulating at an ever-increasing pace, the bottleneck in cancer research has shifted from data acquisition to computational analysis. What is missing to translate our research into clinical benefit for the patient? Should we focus on knowledge-driven or data-driven approaches? My talk will give examples of both, in particular for single cell analysis, knowledge formalisation and network modelling. Applications will concern among others: Ewing sarcoma, colon carcinoma, and metastasis formation.
Publications
- Stoll et al (2017) MaBoSS 2.0: an environment for stochastic Boolean modeling. Bioinformatics (Oxford, England) 33: 14. 2226-2228 Jul.
- Servant et al (2015) HiC-Pro: an optimized and flexible pipeline for Hi-C data processing. Genome biology 16: 12.
- Kuperstein et al (2015) Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps. Oncogenesis 4: 07.
- Chanrion et al (2014) Concomitant Notch activation and p53 deletion trigger epithelial-to-mesenchymal transition and metastasis in mouse gut. Nature communications 5: 10.
- Biton et al (2014) Independent component analysis uncovers the landscape of the bladder tumor transcriptome and reveals insights into luminal and Basal subtypes. Cell reports 9: 4. 1235-1245 Nov.
Contact
Division of System Cohort, MIB
Yoshihiro Yamanishi
Tel：092(642)6925