MMinte: an application for predicting metabolic interactions among the microbial species in a community

The explosive growth of microbiome research has yielded great quantities of data. These data provide us with many answers, but raise just as many questions. 16S rDNA-the backbone of microbiome analyses-allows us to assess α-diversity, β-diversity, and microbe-microbe associations, which characterize...

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Veröffentlicht in:	BMC bioinformatics 2016-09, Vol.17 (1), p.343-343, Article 343
Hauptverfasser:	Mendes-Soares, Helena, Mundy, Michael, Soares, Luis Mendes, Chia, Nicholas
Format:	Artikel
Sprache:	eng
Schlagworte:	Bacteria - metabolism Biological diversity DNA sequencing Genetic aspects Genomes Metabolic Networks and Pathways Metabolism Metabolites Methods Microbiota Models, Biological Nucleotide sequencing Observations Software Species Specificity
Online-Zugang:	Volltext
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