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

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dc.contributor.authorGardner PP
dc.contributor.authorWatson RJ
dc.contributor.authorMorgan XC
dc.contributor.authorDraper JL
dc.contributor.authorFinn RD
dc.contributor.authorMorales SE
dc.contributor.authorStott MB
dc.date.accessioned2019-02-04T04:11:03Z
dc.date.available2019-02-04T04:11:03Z
dc.date.issued2019en
dc.date.updated2019-01-28T22:39:19Z
dc.description.abstract© Copyright 2019 Gardner et al. 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.en
dc.identifier.doihttps://doi.org/10.7717/peerj.6160
dc.identifier.issn2167-8359
dc.identifier.issn2167-8359
dc.identifier.urihttp://hdl.handle.net/10092/16453
dc.languageEnglish
dc.language.isoen
dc.rightsDistributed under Creative Commons CC-BY 4.0en
dc.subjectBioinformaticsen
dc.subjectMetagenomicsen
dc.subjectMetabarcodingen
dc.subjectBenchmarken
dc.subjecteDNAen
dc.subjectMetabenchmarken
dc.subject.anzsrcFields of Research::31 - Biological sciences::3105 - Genetics::310509 - Genomicsen
dc.subject.anzsrcFields of Research::46 - Information and computing sciences::4601 - Applied computing::460103 - Applications in life sciencesen
dc.titleIdentifying accurate metagenome and amplicon software via a meta-analysis of sequence to taxonomy benchmarking studiesen
dc.typeJournal Articleen
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