Unraveling bacterial fingerprints of city subways from microbiome 16S gene profiles

Unraveling bacterial fingerprints of city subways from microbiome 16S gene profiles

Abstract Background Microbial communities can be location specific, and the abundance of species within locations can influence our ability to determine whether a sample belongs to one city or another. As part of the 2017 CAMDA MetaSUB Inter-City Challenge, next generation sequencing (NGS) data was...

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Bibliographic Details
Main Authors: Alejandro R. Walker, Tyler L. Grimes, Somnath Datta, Susmita Datta
Format: Article
Language:English
Published: BMC 2018-05-01
Series:Biology Direct
Subjects:
Microbiome
Bacterial 16S gene
Classifier
PCA
Network analysis
Machine learning
Online Access:http://link.springer.com/article/10.1186/s13062-018-0215-8

Internet

http://link.springer.com/article/10.1186/s13062-018-0215-8

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