Statistical develoPments and ApplicatioN on Oxygenic photogRAnules for longitudinal Multi-omICS data

Project ANR-21-CE45-0036-01 of the Agence Nationale de la Recherche
From April 2022 To March 2026.

Scientific abstract

Oxygenic photogranules (OPGs) could turn wastewater treatment in circular bioeconomy by capturing much of the energetic and chemical value of wastewater in their biomass. But essential knowledge on their formation and life cycle is still missing and needed for conducting a bioprocess based on OPGs. Omics (in particular metabolomics) are the best tools to understand photogranulation but still require a specific effort in statistical modelling to make full use of them. This project will tackle both challenges: the development of automatic and reproducible data analysis methods for metabolomics, the implementation of a longitudinal multi-omics data integration methodology and the use of these new approaches to investigate the life cycle of OPGs, mainly their switch from growth activity to storage of compounds which is one of the major remaining challenges for the industrial use of OPGs in depollution of wastewater.




  • Camille Guilmineau, Marie Tremblay-Franco, Nathalie Vialaneix, Rémi Servien. Modélisation de données métabolomiques longitudinales par voies métaboliques. Journées de statistique de la SFdS, Société Française de Statistique, Jul 2023, Bruxelles (BE), Belgique. ⟨hal-04154758⟩.
  • Christian Adanmaho. Utilisation des images RMN 2D pour la quantification en métabolomique. Mémoire de stage de Master 2, encadré par G. Lefort, M. Tremblay-Franco et R. Servien. 2023. ⟨hal-04551035⟩

Date de modification : 03 mai 2024 | Date de création : 31 mars 2022 | Rédaction : LBE