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BioNetVisA 2018 workshop


From biological network reconstruction to data visualization and analysis in molecular biology and medicine


The final programme and the abstract booklet are available here

The workshop presentations are available here

BioNetVisA workshop brings together different actors of network biology from database providers, networks creators, computational biologists, biotech companies involved in data analysis and modeling to experimental biologists, clinicians that use systems biology approaches. The participants are exposed to the different paradigms of network biology and the latest achievements in the field.

Motivation

The goal of BioNetVisA workshop is to build a discussion around various approaches for biological knowledge formalisation, data integration and analysis; compatibility between different methods and biological networks resources available the field; applicability for concrete research and clinical projects depending on scientific question and type of high-throughput data.

The BioNetVisA workshop aims at identifying bottlenecks and proposing short- and long-term objectives for the community as discussing questions about accessibility of available tools for wide range of user in every-day standalone application in biological and clinical labs. In addition, the possibilities for collective efforts by academic researchers, clinicians, biotech companies and future development directions in the field will be discussed during the round table panel.

BioNetVisA 2018 programme

09:00 - 10:30 Session 1: Signalling and metabolic network resources
Chair: Vassili Soumelis
09:00 - 09:20 Antonio Fabregat
EMBL-EBI, Hinxton, UK
The Reactome Pathway Knowledgebase
Abstract
09:20 - 09:40 Cristobal Monraz Gomez
Institut Curie, Paris, France
Atlas of Cancer Signaling Network: a resource of multi-scale biological maps to study disease mechanisms
Abstract
09:40 - 10:05 Joaquin Dopazo
Fundación Progreso y Salud, Seville, Spain
Navigating through disease maps
Abstract
10:05 - 10:30 Augustin Luna
Dana-Farber Cancer Institute/Harvard University, Boston, United States
Access and Discover Biological Pathway Information from Pathway Commons
Abstract
10:30 - 11:00 Coffee break
11:00 - 12:30 Session 2: Platforms and methods for analysis of complex networks
Chair: Yvan Saeys
11:00 - 11:25 Georgios Pavlopoulos
Biomedical Sciences Research Center "Alexander Fleming", Athens, Greece
Using HipMCL, a high-performance parallel implementation of the Markov clustering algorithm, to understand microbial diversity
Abstract
11:25 - 11:50 Anna Niarakis
GenHotel EA3886, Univ Evry, Université Paris-Saclay, France
Disease Networks - Reconstruction, Topology, Dynamics. Towards an automated pipeline from static representations to executable disease models
Abstract
11:50 - 12: 10 Barbara Shih
The Roslin Institute and Royal (Dick) School of Veterinary Studies, the University of Edinburgh, Easter Bush, Midlothian, Edinburgh, UK
A platform for the network assembly and visual analysis of transcript isoforms from short-read RNA-sequencing data
Abstract
12:10 - 12:30 Warren W Kretzschmar
KTH Royal Institute of Technology, Stockholm, Sweden
Multicolored De Bruijn graph visualization of first, second, and third generation RNA-seq offers deeper insight into transcript isoforms in Picea abies
Abstract
12:30 - 13:30 Lunch
13:30 - 15:00 Session 3: Biological networks in single-cell data analysis
Chair: Augustin Luna
13:30 - 13:55 Yvan Saeys ISAC Lecture
VIB-Ghent University, Gent, Belgium
Inferring dynamic regulatory networks from single cell data
Abstract
13:55 - 14:20 Andrei Zinovyev
Institute Curie, Paris, France
Biological networks help unraveling tumoral heterogeneity at single cell level
Abstract
14:20 - 14:40 Anirudh Patir
The University of Edinburgh, Edinburgh, UK
Evaluation of network methods for the analysis scRNA-seq data and development of a new KNN-based method based on identified caveats
Abstract
14:40 - 15:00 Vassili Soumelis
Institut Curie, Cancer Immunotherapy Center, Paris, France
Immune cell diversification in response to a single stimulus: from single cells to subsets and back
Abstract
15:00 - 15:30 Coffee break
15:30 - 17:00 Session 4: Biological network in drug repositioning and disease comorbidity
Chair: Joaquin Dopazo
15:30 - 16:15 Alfonso Valencia Keynote Lecturer
Barcelona Supercomputing Center, Barcelona, Spain
A patient centred disease comorbidity network
16:15 - 16:35 Celine Hernandez
Institut de Biologie de l’Ecole Normale Supérieure, Paris, France
Dynamical modelling of T cell co-inhibitory pathways to predict anti-tumour responses to checkpoint inhibitors
Abstract
16:35 - 16:55 Sven Bergmann
University of Lausanne & Swiss Institute of Bioinformatics, Switzerland
Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases
Abstract
16:55 - 17:15 Josephine Daub
Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
Genetic interactions in childhood cancer
Abstract
Topics

Graphical representation of biological knowledge
Pathway and network resources
Networks annotation and curation
Multi-omics data visualization and analysis in the context of networks
Network modelling
Basic research and clinical application of networks
Microbiome and networks
Networks for single-cell data interpretation
Metabolomics and networks
Networks applications for drug repositioning
Networks in disease comorbidity studies

Scope

Development, curation and maintenance of biological network resources
Data models from interaction to pathway and network, available tools for the integration of new discoveries into existing signalling diagrams. Discussion of curation models from map manager-oriented to community-based update using web-tools and forums.

Cell signalling knowledge representation paradigms
From interaction to single pathways representation to comprehensive signalling networks: discussion of modes of biological processes representation; granularity, coverage, sources of information, annotation modes, cross-citations between different signalling networks resources, etc. Standard for graphical representation and data formats.

Visualization of data through networks
Paradigms of visualization of different types of high-throughput data on a network map. Data integration with a map. Methods compatibility with different paradigms of signalling networks reconstruction in various databases and resources.

Analytical tools for network biology
Tools for network analysis and manipulation, network modeling, network-based statistics. Studying network activation and inhibition, feedbacks and compensations, synthetic interactions.

Applications of networks in multi-omics data analysis in biomedical research and in clinics
Studies on single-cell data, microbiome, metabolomics and other omics data analysis, disease comorbidity, drug response prediction using network-based approaches.

Registration

The registration has to be performed via the ECCB website

Organising committee

Inna Kuperstein (Institut Curie, France)
Emmanuel Barillot (Institut Curie, France)
Andrei Zinovyev (Institut Curie, France)
Luis Cristobal Monraz Gomez (Institut Curie, France)
Hioraki Kitano (RIKEN Center for Integrative Medical Sciences, Japan)
Minoru Kanehisa (Institute for Chemical Research, Kyoto University, Japan)
Samik Ghosh (Systems Biology Institute, Tokyo, Japan)
Robin Haw (Ontario Institute for Cancer Research, Canada)
Alfonso Valencia (Spanish National Bioinformatics Institute, Madrid, Spain)
Lodewyk Wessels (Netherlands Cancer Institute, Amsterdam, Netherlands)
Patrick Kemmeren (Princess Maxima Center for Pediatric Oncology, Utrecht, Netherlands)

Sponsors

INCa