Explore the words cloud of the INFERNET project. It provides you a very rough idea of what is the project "INFERNET" about.
The following table provides information about the project.
Coordinator |
IIGM FOUNDATION
Organization address contact info |
Coordinator Country | Italy [IT] |
Project website | https://www.infernet.eu/ |
Total cost | 900˙000 € |
EC max contribution | 900˙000 € (100%) |
Programme |
1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge) |
Code Call | H2020-MSCA-RISE-2016 |
Funding Scheme | MSCA-RISE |
Starting year | 2017 |
Duration (year-month-day) | from 2017-03-01 to 2021-02-28 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | IIGM FOUNDATION | IT (TORINO) | coordinator | 310˙500.00 |
2 | BEATSON INSTITUTE FOR CANCER RESEARCH LBG | UK (BEARSDEN) | participant | 297˙000.00 |
3 | SORBONNE UNIVERSITE | FR (PARIS) | participant | 292˙500.00 |
4 | UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6 | FR (PARIS) | participant | 0.00 |
5 | UNIVERSIDAD DE LA HABANA | CU (PLAZA) | partner | 0.00 |
6 | Universidad Nacional de General Sarmiento | AR (Los Polvorines - Provincia de Buenos Aires) | partner | 0.00 |
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.
International Workshop - Habana | Other | 2020-04-14 23:46:59 |
Reconstruction of regulatory and signaling networks | Documents, reports | 2020-04-14 23:46:59 |
Gold Standard Database. Deployment of algorithmic pipeline | Documents, reports | 2020-04-14 23:46:59 |
RepSeq database | Documents, reports | 2020-04-14 23:46:59 |
Integrative analysis of gene expression and cancer metabolism | Documents, reports | 2020-04-14 23:46:59 |
New inference techniques. Maximum inter-alignment matching | Documents, reports | 2020-04-14 23:46:59 |
International School - Paris | Other | 2020-04-14 23:46:58 |
Data management Plan (DMP) | Other | 2020-04-14 23:46:58 |
INFERNET website | Other | 2020-04-14 23:46:58 |
Progress report 1 | Other | 2020-04-14 23:46:58 |
Take a look to the deliverables list in detail: detailed list of INFERNET deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani, Mirko Pieropan Compressed sensing reconstruction using Expectation Propagation published pages: , ISSN: 1751-8113, DOI: 10.1088/1751-8121/ab3065 |
Journal of Physics A: Mathematical and Theoretical | 2020-04-14 |
2019 |
Elena Facco, Andrea Pagnani, Elena Tea Russo, Alessandro Laio The intrinsic dimension of protein sequence evolution published pages: e1006767, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1006767 |
PLOS Computational Biology 15/4 | 2020-04-14 |
2017 |
Jorge Fernandez-de-Cossio-Diaz, Andrea De Martino, Roberto Mulet Microenvironmental cooperation promotes early spread and bistability of a Warburg-like phenotype published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-03342-3 |
Scientific Reports 7/1 | 2020-04-14 |
2017 |
Jorge Fernandez-de-Cossio-Diaz, Kalet Leon, Roberto Mulet Characterizing steady states of genome-scale metabolic networks in continuous cell cultures published pages: e1005835, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1005835 |
PLOS Computational Biology 13/11 | 2020-04-14 |
2017 |
Jorge Fernandez-de-Cossio-Diaz, Alexei Vazquez Limits of aerobic metabolism in cancer cells published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-14071-y |
Scientific Reports 7/1 | 2020-04-14 |
2018 |
Hendrik Szurmant, Martin Weigt Inter-residue, inter-protein and inter-family coevolution: bridging the scales published pages: 26-32, ISSN: 0959-440X, DOI: 10.1016/j.sbi.2017.10.014 |
Current Opinion in Structural Biology 50 | 2020-04-14 |
2018 |
Irene Franco, Anna Johansson, Karl Olsson, Peter VrtaÄnik, Pär Lundin, Hafdis T. Helgadottir, Malin Larsson, Gwladys Revêchon, Carla Bosia, Andrea Pagnani, Paolo Provero, Thomas Gustafsson, Helene Fischer, Maria Eriksson Somatic mutagenesis in satellite cells associates with human skeletal muscle aging published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-018-03244-6 |
Nature Communications 9/1 | 2020-04-14 |
2017 |
Jonathan Fiorentino, Andrea De Martino Independent channels for miRNA biosynthesis ensure efficient static and dynamic control in the regulation of the early stages of myogenesis published pages: 53-63, ISSN: 0022-5193, DOI: 10.1016/j.jtbi.2017.06.038 |
Journal of Theoretical Biology 430 | 2020-04-14 |
2018 |
Aurell, Erik; DomÃnguez, Eduardo; Machado, David; Mulet, Roberto Exploring the diluted ferromagnetic p-spin model with a Cavity Master Equation published pages: , ISSN: 2470-0053, DOI: 10.1103/PhysRevE.97.050103 |
Physical Review APS 1 | 2020-04-14 |
2018 |
Jorge Fernandez-de-Cossio-Diaz, Alexei Vazquez A physical model of cell metabolism published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-26724-7 |
Scientific Reports 8/1 | 2020-04-14 |
2018 |
Matteo Figliuzzi, Pierre Barrat-Charlaix, Martin Weigt How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins? published pages: 1018-1027, ISSN: 0737-4038, DOI: 10.1093/molbev/msy007 |
Molecular Biology and Evolution 35/4 | 2020-04-14 |
2017 |
Araks Martirosyan, Matteo Marsili, Andrea De Martino Translating ceRNA Susceptibilities into Correlation Functions published pages: 206-213, ISSN: 0006-3495, DOI: 10.1016/j.bpj.2017.05.042 |
Biophysical Journal 113/1 | 2020-04-14 |
2018 |
Andrea De Martino, Daniele De Martino An introduction to the maximum entropy approach and its application to inference problems in biology published pages: e00596, ISSN: 2405-8440, DOI: 10.1016/j.heliyon.2018.e00596 |
Heliyon 4/4 | 2020-04-14 |
2019 |
Jorge Fernandez-de-Cossio-Diaz, Roberto Mulet Maximum entropy and population heterogeneity in continuous cell cultures published pages: e1006823, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1006823 |
PLOS Computational Biology 15/2 | 2020-04-14 |
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The information about "INFERNET" are provided by the European Opendata Portal: CORDIS opendata.