Rapid analysis of metagenomic data using signature-based clustering

Rapid analysis of metagenomic data using signature-based clustering

Abstract Background Sequencing highly-variable 16S regions is a common and often effective approach to the study of microbial communities, and next-generation sequencing (NGS) technologies provide abundant quantities of data for analysis. However, the speed of existing analysis pipelines may limit o...

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Bibliographic Details
Main Authors: Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Irani U. Rathnayake, Stephen Rudd, Wayne Kelly, Dimitri Perrin
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Metagenomics
Clustering
Community analysis
Read signatures
Wound healing
Online Access:http://link.springer.com/article/10.1186/s12859-018-2540-4

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http://link.springer.com/article/10.1186/s12859-018-2540-4

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