Shotgun metagenome data of a defined mock community using Oxford Nanopore, PacBio and Illumina technologies

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作者
Volkan Sevim
Juna Lee
Robert Egan
Alicia Clum
Hope Hundley
Janey Lee
R. Craig Everroad
Angela M. Detweiler
Brad M. Bebout
Jennifer Pett-Ridge
Markus Göker
Alison E. Murray
Stephen R. Lindemann
Hans-Peter Klenk
Ronan O’Malley
Matthew Zane
Jan-Fang Cheng
Alex Copeland
Christopher Daum
Esther Singer
Tanja Woyke
机构
[1] DOE Joint Genome Institute,Lawrence Livermore National Laboratory
[2] 2800 Mitchell Drive,undefined
[3] NASA Ames Research Center,undefined
[4] Exobiology Branch,undefined
[5] Bay Area Environmental Research Institute,undefined
[6] Nuclear and Chemical Science Division,undefined
[7] Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH,undefined
[8] Desert Research Institute,undefined
[9] Division of Earth and Ecosystem Sciences,undefined
[10] Purdue University,undefined
[11] 610 Purdue Mall,undefined
[12] Newcastle University,undefined
[13] School of Natural and Environmental Sciences,undefined
[14] Lawrence Berkeley National Laboratory,undefined
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Scientific Data | / 6卷
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摘要
Metagenomic sequence data from defined mock communities is crucial for the assessment of sequencing platform performance and downstream analyses, including assembly, binning and taxonomic assignment. We report a comparison of shotgun metagenome sequencing and assembly metrics of a defined microbial mock community using the Oxford Nanopore Technologies (ONT) MinION, PacBio and Illumina sequencing platforms. Our synthetic microbial community BMock12 consists of 12 bacterial strains with genome sizes spanning 3.2–7.2 Mbp, 40–73% GC content, and 1.5–7.3% repeats. Size selection of both PacBio and ONT sequencing libraries prior to sequencing was essential to yield comparable relative abundances of organisms among all sequencing technologies. While the Illumina-based metagenome assembly yielded good coverage with few misassemblies, contiguity was greatly improved by both, Illumina + ONT and Illumina + PacBio hybrid assemblies but increased misassemblies, most notably in genomes with high sequence similarity to each other. Our resulting datasets allow evaluation and benchmarking of bioinformatics software on Illumina, PacBio and ONT platforms in parallel.
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