Genome-Scale Metabolic Modeling Enables In-Depth Understanding of Big Data

Genome-Scale Metabolic Modeling Enables In-Depth Understanding of Big Data

Genome-scale metabolic models (GEMs) enable the mathematical simulation of the metabolism of archaea, bacteria, and eukaryotic organisms. GEMs quantitatively define a relationship between genotype and phenotype by contextualizing different types of Big Data (e.g., genomics, metabolomics, and transcr...

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Bibliographic Details
Main Authors: Anurag Passi, Juan D. Tibocha-Bonilla, Manish Kumar, Diego Tec-Campos, Karsten Zengler, Cristal Zuniga
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Metabolites
Subjects:
genome-scale metabolic models
big data
computational tools
phenotypes
flux balance analysis
machine learning
Online Access:https://www.mdpi.com/2218-1989/12/1/14

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https://www.mdpi.com/2218-1989/12/1/14

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