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We will investigate the unexplored, non-stationary dynamics of such topologically-constraint, long heteropolymers. To tackle the behaviors of these long polymeric chains over long time periods, we will design robust and efficient, modular simulation methods. We will develop a complete framework for

The ability to measure genome-wide gene expression or mutations from a biological sample made of thousands or millions of cells has revolutionized biology in the late 1990’s, allowing for example to characterize subtypes of cancers from their molecular profile or to identify comprehensive lists of g

Objective A: First, we propose to develop novel methods by addressing the current limitations of Deep Learning (DL) in neuroimaging. First, we propose to address the problem related to the limited number of training data by increasing the size of training library and by reducing the number of requir

The objective of this project is to introduce a time-frequency generalisation of the rheological equations (spatio-temporel dynamics) and to open the possibility to analyze non-stationary signals collected from living systems and also to perform the experiments on living cells and tissues that will

X-ray based medical imaging plays a fundamental role in several fields of medicine. However, the use of X-rays for medical purposes is associated with an inherent risk of exposing patient, interventional radiologists/surgeons and supporting medical staff members to harmful ionizing radiation. Countl

Three-dimensional optical microscopy is an invaluable tool in many fields, particularly in biology, thanks to its unique properties for imaging living specimens. In recent years, tremendous progress has been made with the development of structured illumination techniques, PALM / STORM, and STED. How

Speech production disorders can lead to a serious loss of intelligibility, making it difficult for patients to communicate with those around them and limiting their professional and / or social life. Classically, the clinical evaluation of intelligibility is based on a global perceptual evaluation d

Multifractal analysis enables the theoretically sound and practically robust study of the fluctuations in the regularity of image intensity, quantifying complex transient higher order dependence and heterogeneity in image texture. The use of this mathematical framework yielded many remarkable succes

The spatial distribution of supercoils along bacterial genomes is currently not experimentally accessible. We intend to map this distribution with high-throughput sequencing techniques based on the intercalating agent TMP (tri-methyl-psoralen). This analysis will be carried in the model phytopathoge

The goal of SCAPHE is to develop methods that enable the discovery, from data generated by high-throughput genomic technologies, of SNP combinations associated with a given phenotype. Ultimately, this project aims at generating novel biological hypotheses based on strong statistical evidence. One

High-throughput sequencing revolutionizes our view of gene expression by its ability to capture the wide variety of transcripts produced by each cell. However, bioinformatics analysis of this data, which most often uses a comparison with reference sequences, fails to identify a very large number of

In the MITO-DYNAMICS project, we aim to identify mitochondrial processes and their regulators that are responsible for muscle wasting (sarcopenia) during ageing and in disease conditions. Currently, we lack a coherent quantitative understanding of the contribution from mitochondrial dysfunction to s

The final application of such model will be, using flow measurements obtained non invasively by MRI, to evaluate the biomechanical properties of the human and monkey brain. With this new model we bridge the gap between animal models considered in preclinical studies, and numerical models developed f

Activation of each replication origin establishes two divergent replication forks that perform bi-directional DNA synthesis with variable speeds. Forks can slow or mark pauses at specific genomic sites but the distribution of fork speed at all genome locations is still unknown. Solving the nature of

Cardiovascular diseases and other blood vessels disorders increase in the world-wide scale and in particular in Occident. The evolution of computer science in researches investigating vascular networks has raised the interest in numerical reconstructing and understanding of those complex tree-like s

SoftwAiR: High-throughput processing of real-time and high-resolution mass spectrometry analysis from exhaled air for the characterization of the human volatolome variations in disease and response to pharmacological treatments Metabolomics is the last-born “omic” approach, consisting in explorin

Correlative microscopies allow to combine different scales of observations and different contents, functional and morphological, based on the large panel of microscopy technologies available for life sciences. Deciphering the fundamental process of cardiac valve dysfunction in particular would great

The goal of the SINUMER project is to build a numerical simulator to capture the key physical mechanisms of mucus transport in human lungs, and use it to progress on the understanding of severe asthma and Chronic Obstructive Pulmonary Diseases (COPD). These chronic respiratory diseases affect nowada

Protein-RNA interactions are central to many cellular functions and their possible implication in diseases has long been studied. Understanding the molecular mechanisms underlying these processes remains a central question in current biological research. Recent advances in high-throughput experiment

A key challenge of 21st century biology, arguably, is to merge concepts and findings from ecology and evolution into a predictive science. These two ‘sister disciplines’ have seen much progress during the last century, but an integrated, empirically validated, predictive framework has yet to emerge.

Next generation sequencing is gradually revealing the secrets of genes for all organisms, but the complex world of proteins remains largely unknown despite the critical roles they play in living organisms. Diversity of proteins originates either from genetic variations or from alternative splicing,

G protein-coupled receptors (GPCR) are very good targets for drugs. Their presence in the cell membrane make them accessible to drugs, and these receptors are involved in the vast majority of cellular processes. Indeed, GPCR are targeted by more than 30% of marketed drugs. To increase the efficacy a

The aim of this project is to identify, at the single cell level, signatures associated with functionally relevant memory cell subsets, to characterize dynamical molecular networks that are predictive of their generation, and to build a multi-scale computational model of this process. Following an