Construction of habitat-specific training sets to achieve species-level assignment in 16S rRNA gene datasets

Construction of habitat-specific training sets to achieve species-level assignment in 16S rRNA gene datasets

Abstract Background The low cost of 16S rRNA gene sequencing facilitates population-scale molecular epidemiological studies. Existing computational algorithms can resolve 16S rRNA gene sequences into high-resolution amplicon sequence variants (ASVs), which represent consistent labels comparable acro...

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Bibliographic Details
Main Authors: Isabel F. Escapa, Yanmei Huang, Tsute Chen, Maoxuan Lin, Alexis Kokaras, Floyd E. Dewhirst, Katherine P. Lemon
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Microbiome
Subjects:
Training set
Naïve Bayesian RDP Classifier
Species-level taxonomy
16S rRNA gene
V1–V3
Habitat-specific database
Online Access:http://link.springer.com/article/10.1186/s40168-020-00841-w

Internet

http://link.springer.com/article/10.1186/s40168-020-00841-w

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