MetaCoMET: a web platform for discovery and visualization of the core microbiome
Yi Wang1,2,3, Ling Xu2,3, Yong Q Gu1
1USDA-ARS, Western Regional Research Center, Crop Improvement and Genetics Research Unit, Albany, CA 94710, USA.
Motivation:
A key component of the analysis of microbiome datasets is the identification of OTUs shared between multiple experimental conditions, commonly referred to as the core microbiome.
Results:
We present a web platform named MetaCoMET that enables the discovery and visualization of the core microbiome and provides a comparison of the relative abundance and diversity patterns between subsets of samples within a microbiome dataset. MetaCoMET provides an efficient and interactive graphical interface for analyzing each subset defined by the union or disjunction of groups within the Venn diagram, and includes a graphical taxonomy summary, alpha diversity metrics, Principal Coordinate analysis, abundance-based heatmaps, and a chart indicating the geographic distribution of each sample.
Availability And Implementation:
MetaCoMET is a user-friendly and efficient web platform freely accessible at http://probes.pw.usda.gov/MetaCoMET or http://aegilops.wheat.ucdavis.edu/MetaCoMET CONTACT: devin.coleman-derr@ars.usda.govSupplementary information: Supplementary data are available at Bioinformatics online.
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