Data mining, Visualization and Computational Modeling of Redox Signaling Networks – MinOmics
This project aims at developing MinOmics, an integrated analysis and visualization framework dedicated to multi-omics data analyses and focused, as a study case, on redox signaling networks. We propose an immersive visual analytics approach where experimental data and analysis results can be visualized and manipulated interactively on an 8.3 m2 large-scale 25 MPixel high-resolution display wall. Modeling of the redox network will be based on original mathematical solutions to reduce the number of parameters to estimate. Structural interpretations will be enabled by an automated modeling pipeline for the prediction of modified sites. Bioinformatics modeling will allow us to uncover the structural determinants of the different modifications and to unravel the dynamics of the redox network and may open new areas of research relevant for agriculture, biotechnology and medicine. This project addresses how to take into account state-of-art modeling in the context of integrative biology.
Monsieur Stéphane LEMAIRE (Laboratoire de Biologie Computationnelle et Quantitative)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
LBMCE Biologie moléculaire et cellulaire des eucaryotes
LBT Laboratoire de Biochimie Théorique
IJM Institut Jacques Monod
I2BC Institut de Biologie Intégrative de la Cellule
LCQB Laboratoire de Biologie Computationnelle et Quantitative
Help of the ANR 770,063 euros
Beginning and duration of the scientific project: March 2020 - 48 Months