INRIA

Scaling the solving of Ordinary Differential Equation for Computational Biology (and Deep Learning)

In biology, the vast majority of systems can be modeled as ordinary differential equations (ODEs). Modeling more finely biological objects leads to increase the number of equations. Simulating ever larger systems also leads to increasing the number of equations. Therefore, we observe a large increase in the size of the ODE systems to be solved. A major lock is the limitation of ODE numerical resolution software (ODE solver) to a few thousand equations due to prohibitive calculation time.

M2 - integration of -omics data into metabolic regulatory network analysis

<p><strong>M2 internship in bioinformatics: integration of -omics data into metabolic regulatory network analysis</strong></p><p>Adaptation of bacterial growth to environmental or genetic perturbations involves numerous regulations. Advanced &ndash;omics technologies allow monitoring the adaptive behavior, by tracking down modifications of metabolite, mRNA and enzyme concentrations. The biggest challenge nowadays is to integrate the data and especially to make sense of them.

Computational developments for integrative structural biology : small-angle scattering using polynomial expansions

While crystallography has been providing atomic-resolution structures of biomolecules for over half a century, the real challenge of today’s biophysicists is to correlate molecules’ structure and dynamics in solution with their function.

Small-angle scattering (SAS) is the fundamental techniques for structural studies of biological systems in solution.

Ingénieur C++

L'équipe d'algorithmique en bioinformatique (Bonsai) à Inria Lille, située au sein du laboratoire CRIStAL, recrute un ingénieur ayant de bonnes connaissances en programmation C++ pour un CDD de 24 mois à partir de Septembre 2017. Texte de l'annonce ci-dessous: