Skip to main content
Article
Metagenomics, Metatranscriptomics, and Metabolomics Approaches for Microbiome Analysis
Biomolecular Sciences Institute: Faculty Publications
  • Vanessa Aguiar-Pulido, Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University
  • Wenrui Huang, Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University
  • Victoria Suarez-Ulloa, Department of Biological Sciences, Florida International University
  • Trevor Cickovski, 1Bioinformatics Research Group (BioRG) and Herbert Wertheim College of Medicine, Florida International University
  • Kalai Mathee, Biomolecular Sciences Institute and Herbert Wertheim College of Medicine, Florida International University
  • Giri Narasimhan, Bioinformatics Research Group, School of Computing and information Sciences and Biomolecular Sciences Institute, Florida International University
Date of this Version
1-31-2016
Document Type
Article
Rights
Attribution
Disciplines
Abstract
Microbiomes are ubiquitous and are found in the ocean, the soil, and in/on other living organisms. Changes in the microbiome can impact the health of the environmental niche in which they reside. In order to learn more about these communities, different approaches based on data from mul-tiple omics have been pursued. Metagenomics produces a taxonomical profile of the sample, metatranscriptomics helps us to obtain a functional profile, and metabolomics completes the picture by determining which byproducts are being released into the environment. Although each approach provides valuable information separately, we show that, when combined, they paint a more comprehensive picture. We conclude with a review of network-based approaches as applied to integrative studies, which we believe holds the key to in-depth understanding of microbiomes.
DOI
10.4137/EBO.S36436
Identifier
FIDC001617
Comments

Originally published in Evolutionary Bioinformatics.

Creative Commons License
Creative Commons Attribution-Noncommercial 3.0
Citation Information
Aguiar-Pulido et al. Metagenomics, Metatranscriptomics, and Metabolomics Approaches for Microbiome Analysis. Evolutionary Bioinformatics 2016:12(S1) 5–16 doi: 10.4137/EBO.S36436.