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Identifying accurate metagenome and amplicon software via a meta-analysis of sequence to taxonomy benchmarking studies.


ABSTRACT: Metagenomic and meta-barcode DNA sequencing has rapidly become a widely-used technique for investigating a range of questions, particularly related to health and environmental monitoring. There has also been a proliferation of bioinformatic tools for analysing metagenomic and amplicon datasets, which makes selecting adequate tools a significant challenge. A number of benchmark studies have been undertaken; however, these can present conflicting results. In order to address this issue we have applied a robust Z-score ranking procedure and a network meta-analysis method to identify software tools that are consistently accurate for mapping DNA sequences to taxonomic hierarchies. Based upon these results we have identified some tools and computational strategies that produce robust predictions.

SUBMITTER: Gardner PP 

PROVIDER: S-EPMC6322486 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Identifying accurate metagenome and amplicon software via a meta-analysis of sequence to taxonomy benchmarking studies.

Gardner Paul P PP   Watson Renee J RJ   Morgan Xochitl C XC   Draper Jenny L JL   Finn Robert D RD   Morales Sergio E SE   Stott Matthew B MB  

PeerJ 20190104


Metagenomic and meta-barcode DNA sequencing has rapidly become a widely-used technique for investigating a range of questions, particularly related to health and environmental monitoring. There has also been a proliferation of bioinformatic tools for analysing metagenomic and amplicon datasets, which makes selecting adequate tools a significant challenge. A number of benchmark studies have been undertaken; however, these can present conflicting results. In order to address this issue we have app  ...[more]

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