nerc.ac.uk

Comparison of multiple metagenomes using phylogenetic networks based on ecological indices

Mitra, Suparna; Gilbert, Jack A.; Field, Dawn; Huson, Daniel H.. 2010 Comparison of multiple metagenomes using phylogenetic networks based on ecological indices. ISME Journal, 4. 1236-1242. https://doi.org/10.1038/ismej.2010.51

Full text not available from this repository.

Abstract/Summary

Second-generation sequencing technologies are fueling a vast increase in the number and scope of metagenome projects. There is a great need for the development of new methods for visualizing the relationships between multiple metagenomic data sets. To address this, a novel approach is presented that combines the use of taxonomic analysis, ecological indices and non-hierarchical clustering to provide a network representation of the relationships between different metagenome data sets. The approach is illustrated using several published data sets of different types, including metagenomes, metatranscriptomes and 16S ribosomal profiles. Application of the approach to the same data summarized at different taxonomical levels gives rise to remarkably similar networks, indicating that the analysis is very robust. Importantly, the networks provide the both visual definition and metric quantification for the non-rooted relationship between samples, combining the desirable characteristics of other tools into one

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1038/ismej.2010.51
Programmes: CEH Topics & Objectives 2009 - 2012 > Biodiversity > BD Topic 1 - Observations, Patterns, and Predictions for Biodiversity
UKCEH and CEH Sections/Science Areas: Hails
ISSN: 1751-7362
Additional Keywords: metagenomics, microbial ecology, comparative metagenomics, networks
NORA Subject Terms: Biology and Microbiology
Ecology and Environment
Data and Information
Date made live: 04 Jan 2011 14:39 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/12866

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...