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Metagenomics, Metatranscriptomics, and Metabolomics Approaches for Microbiome Analysis.
Aguiar-Pulido, Vanessa; Huang, Wenrui; Suarez-Ulloa, Victoria; Cickovski, Trevor; Mathee, Kalai; Narasimhan, Giri.
Afiliación
  • Aguiar-Pulido V; Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University, Miami, FL, USA.
  • Huang W; Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University, Miami, FL, USA.
  • Suarez-Ulloa V; Chromatin Structure and Evolution Group (Chromevol), Department of Biological Sciences, Florida International University, Miami, FL, USA.
  • Cickovski T; Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University, Miami, FL, USA.; Department of Computer Science, Eckerd College, St. Petersburg, FL, USA.
  • Mathee K; Biomolecular Sciences Institute, Florida International University, Miami, FL, USA.; Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.; Global Health Consortium, Florida International University, Miami, FL, USA.
  • Narasimhan G; Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University, Miami, FL, USA.; Biomolecular Sciences Institute, Florida International University, Miami, FL, USA.
Evol Bioinform Online ; 12(Suppl 1): 5-16, 2016.
Article en En | MEDLINE | ID: mdl-27199545
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 multiple 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.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Evol Bioinform Online Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Evol Bioinform Online Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos