Investigating the impact of database choice on the accuracy of metagenomic read classification for the rumen microbiome

Rebecca H. Smith; Laura Glendinning; Alan W. Walker; Mick Watson

doi:10.1101/2022.04.26.489553

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Investigating the impact of database choice on the accuracy of metagenomic read classification for the rumen microbiome

View ORCID ProfileRebecca H. Smith, View ORCID ProfileLaura Glendinning, View ORCID ProfileAlan W. Walker, View ORCID ProfileMick Watson

doi: https://doi.org/10.1101/2022.04.26.489553

Rebecca H. Smith

1The Roslin Institute and Royal “Dick” School of Veterinary Studies, University of Edinburgh, Easter Bush, EH25 9RG, UK

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For correspondence: r.h.smith@ed.ac.uk

Laura Glendinning

1The Roslin Institute and Royal “Dick” School of Veterinary Studies, University of Edinburgh, Easter Bush, EH25 9RG, UK

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Alan W. Walker

2Rowett Institute, University of Aberdeen, AB25 2ZD, UK

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Mick Watson

1The Roslin Institute and Royal “Dick” School of Veterinary Studies, University of Edinburgh, Easter Bush, EH25 9RG, UK

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ORCID record for Mick Watson

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Posted April 26, 2022.

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Investigating the impact of database choice on the accuracy of metagenomic read classification for the rumen microbiome

Rebecca H. Smith, Laura Glendinning, Alan W. Walker, Mick Watson

bioRxiv 2022.04.26.489553; doi: https://doi.org/10.1101/2022.04.26.489553

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Investigating the impact of database choice on the accuracy of metagenomic read classification for the rumen microbiome

Rebecca H. Smith, Laura Glendinning, Alan W. Walker, Mick Watson

bioRxiv 2022.04.26.489553; doi: https://doi.org/10.1101/2022.04.26.489553

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