Illustration DIGIT-BIO



DIGIT-BIO addresses the behaviour of biological systems, which are inherently dynamic and complex, from the scale of the molecule to that of the organism and the population in their "close" environments (biotic, abiotic, practices and management methods).

Deciphering the functions of living matter

This line of research addresses the understanding of biological processes, their regulation and the way in which these processes interact and cooperate. It concerns all levels of the organisation of living organisms including the organism and up to the population level.

Phenotype prediction

This line of research focuses on the prediction of phenotypes from the cell level to that of the individual and population, their functionalities and responses to changes in stress fields (biotic and abiotic environment, management methods, practices).

Transfer learning and generalization

Generalise and exploit results and knowledge acquired on one level of scale of an organism or a system to other levels of scale, organisms or systems that have been less studied or partially observed. This axis also aims to develop more robust comparative approaches that better exploit the generic scope of the data.

Toward the digital twin ?

Digital biology offers the possibility of experimenting and monitoring biological systems in silico, based on their computer representations and updates made possible by data collected over time.

In this section

Booklet of projects DIGIT-BIO
Since its launch in March 2021, DIGIT-BIO has funded 6 interdisciplinary consortia and 14 exploratory projects in the field of digital biology. Find an overview of the actions supported by the metaprogramme.

Modification date: 06 October 2023 | Publication date: 10 January 2022 | By: Com