Comparison of 16S and whole genome dog microbiomes using machine learning

Background: Recent advances in sequencing technologies have driven studies identifying the microbiome as a key regulator of overall health and disease in the host. Both 16S amplicon and whole genome shotgun sequencing technologies are currently being used to investigate this relationship, however, t...

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Bibliographic Details
Main Authors:	Ahn, T.-H (Author), Lewis, S. (Author), Li, Q. (Author), Nash, A. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	16S amplicon Actinobacteria amino acid synthesis animal experiment Article Bacteroides Bacteroides thetaiotaomicron carbohydrate diet Classification classification algorithm controlled study Diabetes Diet dog Dog Firmicutes gene ontology glucose intolerance high-protein low-carbohydrate diet insulin resistance machine learning Machine learning metagenomics Metagenomics microbiome Microbiome nonhuman phenotype phylogeny protein restriction Proteobacteria random forest risk factor RNA 16S shotgun sequencing singular value decomposition Streptococcus Supervised learning support vector machine whole genome sequencing Whole genome shotgun
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Comparison of 16S and whole genome dog microbiomes using machine learning

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