The system will be going down for regular maintenance. Please save your work and logout.
Characterizing microbial interactions in controlled and natural microbial communities
LECOMTE, Maxime
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Science et Technologie du Lait et de l'Oeuf [STLO]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Science et Technologie du Lait et de l'Oeuf [STLO]
LABARTHE, Simon
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Biodiversité, Gènes & Communautés [BioGeCo]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Biodiversité, Gènes & Communautés [BioGeCo]
SHERMAN, David James
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
See more >
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
LECOMTE, Maxime
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Science et Technologie du Lait et de l'Oeuf [STLO]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Science et Technologie du Lait et de l'Oeuf [STLO]
LABARTHE, Simon
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Biodiversité, Gènes & Communautés [BioGeCo]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Biodiversité, Gènes & Communautés [BioGeCo]
SHERMAN, David James
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
FRIOUX, Clémence
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
< Reduce
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Language
en
Communication dans un congrès
This item was published in
Workshop SymBioDiversity, 2022-05-16, Santiago.
English Abstract
The massive development and use of multi omics data permits a better understanding of complex microbial ecosystems at the metabolic level. However, this data and their integration varies depending on the size and characteristics ...Read more >
The massive development and use of multi omics data permits a better understanding of complex microbial ecosystems at the metabolic level. However, this data and their integration varies depending on the size and characteristics of the considered ecosystems. In this talk, I will discuss of two different approaches applied respectively to a controlled microbial community and natural communities in order to reveal putative bacterium-bacterium interactions. I will first describe how numerical optimisation of metabolic models constrained by genomics and metatranscriptomics data can accurately describe a cheese starter community. I will then detail a discrete method based on only genomic data aiming to characterize the competition and cooperation potentials in natural communities.Read less <
Origin
Hal imported