Computational and Quantitative biology

The LCQB is an interdisciplinary laboratory working at the interface between biology and quantitative sciences. It is built to promote a balanced interaction of theoretical and experimental approaches in biology and to foster the definition of new experimental questions, data analysis and modeling of biological phenomena.

Our projects address questions on biological structures and processes and their evolution through the gathering of experimental measures, the in silico generation of new biological data that remain inaccessible to experiments today (modeling of biological systems), the development of statistical methods for data analysis, and the conception of original algorithms aimed to predictions.

  • Bioinformatics: structural bioinformatics, phylogeny, genome bioinformatics.
  • Computational statistics: statistical analysis of NGS data, reconstruction of transcripts structure, detection and quantification of alternative splicing events, identification of small non coding RNAs, annotation of structural variants.
  • Theoretical physics: Statistical and biological physics (soft matter, biomolecular structure and interactions, biological networks, inference in complex and disordered systems, evolutionary models).
  • Genetics and Genomics (marine diatoms and yeasts): nuclear transformation and genetic manipulations, forward and reverse genetics, RNA interference, high-throughput data generation (DNA microarrays, NGS), genome-wide chromatin immuno-precipitation and replication timing program.
  • Cellular Biology: FACS,cellular elutriation,3D image analysis and computation of distances between objects, FISH detection of unique RNA molecules, microfluidics.

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