Illustration thèse confinancée
Thesis by Julien Kossi Kowou (2025 - ).

Large scale paired multi-omic data integration

Thesis by Julien Kossi Kowou (2025 - , UMR GABI). This PhD project aims to develop statistical analysis methods to explore inter-species genetic diversity.

  • Co-funded thesis
  • Starting date: 01/12/2025
  • Research unit: GABI
  • INRAe department : GA
  • INRAe center: Jouy en Josas
  • Doctoral school:  ABIES
  • University: Paris Saclay
  • Areas of expertise: statistics, biostatistics, genetics
  • Thesis supervisors: Nathalie Vialaneix (MIA-T), Andrea Rau (GABI)
  • Fundings: Métaprogramme DIGIT-BIO et PEPR A&N
  • Metaprogramme axis: Axis 1 (Deciphering the functions of living matter at multiple scales: regulation and integration of biological processes)

Summary

More specifically, it is part of the PEPR Agroecology and Digital (AgroDiv flagship project) framework, which seeks to provide a detailed characterization of genetic variability based on an extensive collection of botanical and animal species that could be of interest to agriculture, especially in the context of strong environmental changes and climate change. In this context, the PhD candidate will be responsible for developing methods to integrate omics data in order to explore the relationships between genetic markers of interest and transcriptomic or epigenetic signals. These methods will serve as the foundation for defining species-specific relationships or, conversely, relationships conserved across species, enabling a better characterization of regulatory phenomena variability within a given breed.

Contact

Julien Kossi Kowou