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Deciphering Complex RNA structures by probing and interactions
Secondary structure prediction is an essential step for the de-novo modeling of the architectures of RiboNucleic Acids (RNAs). Advances in high-throughput structural probing of RNA molecules have led to the development of experimentally assisted in-silico prediction methods, that achieve very good a
Inferring Folding Pattern Specific U-Bundle Atlases
At a macroscopic level, information transfer in the human brain results from both short-range connections between adjacent areas and long-range connections between distant areas. An imbalance between long-range and short-range connections is thought to be associated with autism spectrum disorder (AS
New approaches to bridge the gap between genome-scale metabolic networks and untargeted metabolomics
1. Develop a novel computational framework to build multilayer networks integrating different knowledge-based networks and experimental networks. 2. Develop state of art computational solutions exploiting the multilayer topology to improve the power of metabolism analysis such as gap filling, metab
Search engine for environmental genomic sequencing data
The central objective of this proposal is to provide an ultra fast and user-friendly search engine that compares a query sequence, typically a read or a gene (or a small set of such sequences), against the exhaustive set of all available data corresponding to one or several large-scale (meta)genomic
Molecular and evolutionary principles governing enzyme regioselectivity
Our project deals with the prediction and design of enzymatic functions. To that end, we study a family of hydroxylases (the flavin monooxygenases, FMOs) which are able to realise their hydroxylation reaction at different positions of the aromatic ring of the ubiquinone (UQ), a molecule that is key
Dynamical Nucleus Architecture : a Polymer physics based approach to Chromosome dynamics imaging
There is growing experimental evidence in Drosophila that genome architecture and organization have actual functional relevance, both from bulk biochemistry and from live imaging of individual loci. Our theoretical work suggests that evolution drove the folded state of chromosomal domains close to t
Simulation and Imaging for Mitral Regurgitation
This project aims to contribute to this major public health problem with the following two objectives: 1. Evaluate the impact of preoperative fibrosis on left ventricular remodeling after mitral repair surgery in a clinical study involving 15 patients. 2. Develop numerical tools for the simulatio
Multi-scale and multi-resolution bio-molecular structure determination by geometric approaches
This project is in the context of Structural Biology, where Distance Geometry (DG) has been proved to be a valid tool for the analysis and the determination of biological structures, such as proteins. The classical application of DG arises in the framework of Nuclear Magnetic Resonance (NMR) experim
Towards Open processing of PACS data
The TOPACS project aims at large scale analysis of 3D medical images stored in hospitals. The primary goal is large scale study of the Human Anatomy (Computational anatomy). One major challenge is the size of the data to analyse, while respecting anonymity of the individuals. Keypoint extraction com
Theoretical Exploration of the Feasibility, Challenges and Risks of Synthetic Gene Drives
The overarching aim of the proposal is to develop an independent theoretical expertise of synthetic gene drives. We think it is essential for research on gene drives to be also carried out by scientists not involved in the future deployment of gene drives in nature, to guarantee that negative result
Development of a Mathematical Model of Signal Transduction and Adaptation in Mammalian Cone Photoreceptors
Development of a Mathematical Model of Signal Transduction and Adaptation in Mammalian Cone Photoreceptors The eyes of most vertebrates possess two kinds of photoreceptors: rods for dim-light vision, and cones for daylight and color vision. Rods are highly sensitive to light and can respond to s
Computational analysis of the response of immune repertoires to viruses
The immune system relies on its diverse repertoire of specific B- and T-cell receptors (BCR and TCR) to recognize the large diversity of pathogen-derived antigens. The composition of the BCR and TCR repertoires carries the footprint of past immune responses and is informative about the ability to fi
Dynamics of cortical morphology during childhood development
SulcalGRIDS aims at elaborating a new model of cortical morphogenesis that could explain how the human cerebral cortex shape complexity emerges during development. Such a model would be instrumental to develop novel biomarkers of early atypical development and to better understand the pathophysiol
Data mining, Visualization and Computational Modeling of Redox Signaling Networks
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 visuali
Artificial Intelligence to reach the far side of chromosomes
The 3D structure of chromosomes is finely organized to ensure major biological functions such as replication and transcriptional regulation. To study it in detail, so-called contact techniques (3C, Hi-C) are developed in parallel with microscopy, which trap fragments of chromosomes in physical con
Aggregation dynamics in heterogeneous cell populations
The organization of multicellular assemblages derived from an aggregation process is impacted by heterogeneity among the constituent cells. Affected properties include stability, size and composition of groups. Differential assortment can result in disruptive competition within aggregates and lead t
Smart Autonomous Microscopy
To meet this challenge, we will pursue three objectives: 1) Applicative, by developing two experimental biology applications for which the use of SAMic is mandatory. 2) Technological by designing the smartCam-LEAD (Localized Events Advanced Detector) module. 3) Proof of concept with the developme
Modeling hIerarchy between Cardiac descriptors with MAChine learning
The project aims to revisit the representation of diseases from medical imaging, and thus improve the monitoring and risk stratification of both individuals and groups of patients. It proposes first to revisit data integration approaches by taking into account an existing hierarchy in these data, an
Automatic Classification of Cardiac Examinations after Contrast agent InjecTion
T. Arega and S. Bricq, Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module. Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, First Challenge, MyoPS 2020, He
Combining Combinatorial Algorithms and Sequence-Based Phylogeny Reconstruction Methods to Infer Meaningful Explicit Phylogenetic Networks
Reconstructing evolutionary histories of currently-living species is a crucial step towards tackling major biological issues. Relationships among species are traditionally displayed in tree-shaped diagrams called phylogenetic trees. However, such trees cannot represent reticulate evolutionary eve
Artificial life as a benchmark for molecular evolution and genomics
Methods in molecular evolution face a validation issue: it is not possible to travel in time and verify hypotheses and predictions, which concern events that can be up to 4 billion years old. Throughout the scientific literature the most popular validation approach remains computer simulations. Geno
Federated statistical learning for new generation meta-analysis of large-scale and secured biomedical data
The initial objectives of the project consisted in developing a methodological and computational framework for the effective application of federated learning in the domain of healthcare, with a particular focus in medical imaging applications. From the methodological perspective (WP1), the propos
Computational Lung Biomechanics: Many-scale Modeling and Estimation
The lungs are the primary organs of the respiratory system in humans and many animals, responsible for molecular exchanges between external air and internal blood through mechanical ventilation. It has an extraordinary complex architecture, with the inherent fractal structure of the bronchial and bl