Massive metagenomic data analysis using abundance-based machine learning

Massive metagenomic data analysis using abundance-based machine learning

Abstract Background Metagenomics is the application of modern genomic techniques to investigate the members of a microbial community directly in their natural environments and is widely used in many studies to survey the communities of microbial organisms that live in diverse ecosystems. In order to...

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Bibliographic Details
Main Authors: Zachary N. Harris, Eliza Dhungel, Matthew Mosior, Tae-Hyuk Ahn
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Biology Direct
Subjects:
Metagenomics
Machine learning
Taxonomy profiling
MetaSUB
CAMDA
Online Access:http://link.springer.com/article/10.1186/s13062-019-0242-0

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http://link.springer.com/article/10.1186/s13062-019-0242-0

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