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Centre for Cancer Biomarkers CCBIO

norbis workshop in bioinformatics and systems biology

Workshop in Network Biology/Integromics Bioinformatics – Applications Towards Medicine

In this workshop, we will introduce participants to graph theory, provide an overview of different types of biological networks and present approaches for integrating omics data. Hands-on tutorials on tools used in network-based approaches will also be provided.

matrix_dna_colourbox8291689x.jpg

Matrix and dna symbols
Photo:
www.colourbox.com

Dates: 23-25 August 2017

Location: Hotel Terminus, Bergen

Organisers: Konstantina Dimitrakopoulou, Inge Jonassen, Lars Akslen, Christine Stansberg, Eileen Marie Hannah, Elisabeth Wik, Kjell Petersen

External lecturers (confirmed):
Albert-László Barabási (Northeastern University, Boston, US)
Benno Schwikowski (Institut Pasteur, Paris, France)
Laura Furlong (Universitat Pompeu Fabra, Barcelona, Spain)
João Pedro de Magalhães (University of Liverpool, UK)
Leonidas Alexopoulos (National Technical University of Athens, Greece)
Pablo Porras Millan (European Molecular Biology Laboratory (EMBL) – European Bioinformatics Institute (EBI), UK)
Christos Ouzounis (CERTH, Centre for Research and Technology Hellas, Thessaloniki, Greece)

Register here, by 15th June 2017. 
Limited number of seats available, NORBIS members will have priority.

Network science meets omics data.

Many systems are highly complex and behind their collective behavior there is a network of interactions among the system’s components. Network science can rationalize diverse complex systems, for example, the cellular network depicts the interactions between genes, proteins, and metabolites, the neural network describes the connections between neurons, the social network captures the family, friendship and professional relations formulating the society and the communication network depicts communication devices interacting through wired internet connections or wireless links.

The functioning of living organisms is controlled by highly complex networks of interacting molecular components like signal transduction, protein-protein interaction, metabolic and gene regulatory networks. Disease analysis has recently undergone a paradigm shift due to the unprecedented amount of multiple omics data produced and the introduction of network science which moved understanding of disease etiology and progression from the level of single molecules to perturbations upon the complex intracellular network. Moreover, systems-level approaches integrate omics data from different sources as an effective means to deal with the high noise in each individual source and provide a more realistic cellular landscape. Integromics approaches have been shown to improve our comprehension of biological systems and enable more robust disease classification and discovery of biomarkers and drug targets.

In this workshop, we will introduce participants to graph theory, provide an overview of different types of biological networks and present approaches for integrating omics data. Hands-on tutorials on tools used in network-based approaches will also be provided.

Program

Find program (when available) and updated info on this webpage.