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New algorithms for inference and optimization from large-scale biological data

Objective

The tremendous technological advance underlying the ongoing genomic revolution in the life sciences has profoundly transformed biological research over the last 10-15 years. The grand challenge ahead is to leverage experimental progress like high-throughput sequencing by developing effective tools for large scale data-based inference and optimization. The goals of INFERNET rely on the transfer of ideas and methods developed in recent years at the boundary between statistical physics and information theory into the world of quantitative biology. We aim at setting up a consortium characterized by a proven track-record of high-quality research in order to implement a highly integrated program leading from the design of new algorithms to concrete biological applications. The consortium will provide the optimal environment to nurture a generation of researchers that will drive new developments at the forefront of these challenging fields.

The perimeter of each individual research activity will be delimited by: (a) the research themes characterized by the toolbox and methods developed and shared within INFERNET, (b) the choice of the application domains. Principal research themes covered by the consortium will be: (i) the inference of interaction networks from data, (ii) the analysis of static and dynamical processes on networks. Application domains can be broken down into four main areas: (i) the inference and modeling of multi-scale biological networks, (ii) the rational design of biological molecules, (iii) the quantitative study of cell energetics in proliferative regimes, (iv) the characterization of functional states of large-scale regulatory networks. Each individual research project will be a puzzle piece of the wider research project, as well as tailored to suit each researcher's scientific and professional development.

Call for proposal

H2020-MSCA-RISE-2016
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Coordinator

IIGM FOUNDATION
Address
Piazza Bernini 5
10138 Torino
Italy
Activity type
Research Organisations
EU contribution
€ 310 500

Participants (2)

SORBONNE UNIVERSITE
France
EU contribution
€ 292 500
Address
21 Rue De L'ecole De Medecine
75006 Paris
Activity type
Higher or Secondary Education Establishments
BEATSON INSTITUTE FOR CANCER RESEARCH LBG
United Kingdom
EU contribution
€ 297 000
Address
Switchback Road Garscube Estate
G61 1BD Bearsden
Activity type
Research Organisations

Partners (2)

UNIVERSIDAD DE LA HABANA
Cuba
Address
Colina Universitaria San Lazaro Y L
10400 Plaza
Activity type
Higher or Secondary Education Establishments
Universidad Nacional de General Sarmiento
Argentina
Address
Juan M. Gutierrez 1150
B 1613 GSX Los Polvorines - Provincia De Buenos Aires
Activity type
Higher or Secondary Education Establishments