Next Article in Journal
Metabolic Perturbations in a Bacillus subtilis clpP Mutant during Glucose Starvation
Previous Article in Journal
NMR-Based Identification of Metabolites in Polar and Non-Polar Extracts of Avian Liver
Open AccessReview

Computational Approaches for Integrative Analysis of the Metabolome and Microbiome

by Jasmine Chong 1 and Jianguo Xia 1,2,*
1
Institute of Parasitology, McGill University, Montreal, QC H3A 0G4, Canada
2
Department of Animal Science, McGill University, Montreal, QC H3A 0G4, Canada
*
Author to whom correspondence should be addressed.
Metabolites 2017, 7(4), 62; https://doi.org/10.3390/metabo7040062
Received: 26 October 2017 / Revised: 14 November 2017 / Accepted: 16 November 2017 / Published: 18 November 2017
(This article belongs to the Section Thematic Reviews)
The study of the microbiome, the totality of all microbes inhabiting the host or an environmental niche, has experienced exponential growth over the past few years. The microbiome contributes functional genes and metabolites, and is an important factor for maintaining health. In this context, metabolomics is increasingly applied to complement sequencing-based approaches (marker genes or shotgun metagenomics) to enable resolution of microbiome-conferred functionalities associated with health. However, analyzing the resulting multi-omics data remains a significant challenge in current microbiome studies. In this review, we provide an overview of different computational approaches that have been used in recent years for integrative analysis of metabolome and microbiome data, ranging from statistical correlation analysis to metabolic network-based modeling approaches. Throughout the process, we strive to present a unified conceptual framework for multi-omics integration and interpretation, as well as point out potential future directions. View Full-Text
Keywords: metabolome; microbiome; multi-omics integration; integrative analysis metabolome; microbiome; multi-omics integration; integrative analysis
Show Figures

Figure 1

MDPI and ACS Style

Chong, J.; Xia, J. Computational Approaches for Integrative Analysis of the Metabolome and Microbiome. Metabolites 2017, 7, 62.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop