Metagenomic assembly of complex ecosystems with highly accurate long-reads
MAURICE, Nicolas
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
FRIOUX, Clémence
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Quadram Institute
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Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Quadram Institute
MAURICE, Nicolas
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
FRIOUX, Clémence
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Quadram Institute
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Quadram Institute
VICEDOMINI, Riccardo
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Institut des sciences informatiques et de leurs interactions - CNRS Sciences informatiques [INS2I-CNRS]
< Réduire
Scalable, Optimized and Parallel Algorithms for Genomics [GenScale]
Institut des sciences informatiques et de leurs interactions - CNRS Sciences informatiques [INS2I-CNRS]
Langue
en
Autre communication scientifique (congrès sans actes - poster - séminaire...)
Ce document a été publié dans
Journées 2024 du PEPR Agroécologie et Numérique, 2024-01-31, Rennes. 2024p. 1-1
Résumé en anglais
Understanding the poorly characterized communities of soil and rhizosphere microbiota is crucial for plant growth and health. In line with this goal, the MISTIC project seeks to develop methodologies for modeling microbial ...Lire la suite >
Understanding the poorly characterized communities of soil and rhizosphere microbiota is crucial for plant growth and health. In line with this goal, the MISTIC project seeks to develop methodologies for modeling microbial community dynamics. My thesis contributes to this effort by specifically addressing the challenge of assembling genomes from these complex communities using highly accurate long reads.< Réduire
Project ANR
Computationel models of crop plant microbial biodiversity - ANR-22-PEAE-0011
Origine
Importé de halUnités de recherche