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Network-based approaches for the investigation of microbial community structure and function using metagenomics-based data.

Thomas KaiserCyrus JahansouzChristopher M Staley
Published in: Future microbiology (2022)
Network-based approaches offer a powerful framework to evaluate microbial community organization and function as it relates to a variety of environmental processes. Emerging studies are exploring network theory as a method for data integration that is likely to be critical for the integration of 'omics' data using systems biology approaches. Intricacies of network theory and methodological and computational complexities in network construction, however, impede the use of these tools for translational science. We provide a perspective on the methods of network construction, interpretation and emerging uses for these techniques in understanding host-microbiota interactions.
Keyphrases
  • microbial community
  • antibiotic resistance genes
  • big data
  • machine learning
  • data analysis
  • artificial intelligence
  • deep learning