Abstract
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.
Original language | English (US) |
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Pages (from-to) | 621-631 |
Number of pages | 11 |
Journal | Future Microbiology |
Volume | 17 |
Issue number | 8 |
DOIs | |
State | Published - May 2022 |
Bibliographical note
Publisher Copyright:© 2022 Future Medicine Ltd.
Keywords
- Bayesian
- correlation network
- metagenomic
- microbial ecology
- networks
- omics