The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Disentangling Interactions in the Microbiome: A Network Perspective
Open accessAbstract
Microbiota are now widely recognized as being central players in the health of all organisms and ecosystems, and subsequently have been the subject of intense study. However, analyzing and converting microbiome data into meaningful biological insights remain very challenging. In this review, we highlight recent advances in network theory and their applicability to microbiome research. We discuss emerging graph theoretical concepts and approaches used in other research disciplines and demonstrate how they are well suited for enhancing our understanding of the higher-order interactions that occur within microbiomes. Network-based analytical approaches have the potential to help disentangle complex polymicrobial and microbe–host interactions, and thereby further the applicability of microbiome research to personalized medicine, public health, environmental and industrial applications, and agriculture.
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Cited by
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Biodiversity and species competition regulate the resilience of microbial biofilm community
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Recent Past, Present, and Future of the Food Microbiome
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Metadata
- Authors
- Layeghifard, M., Hwang, D. M., & Guttman, D. S.
- Venue
- Trends in Microbiology
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 25
- Issue
- 3
- Pages
- 217-228
- ISSN
- 0966-842X (ISSN-L)
- OpenAlex
- W2558664061
- Cited by
- 851
- References
- 79
- FWCI
- 2.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
