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Next generation sequencing data of a defined microbial mock community

Authors :
Hans-Peter Klenk
Janey Lee
Alicia Clum
Matthew Zane
Doina Ciobanu
Jennifer Chiniquy
Jan Fang Cheng
Tanja Woyke
Christopher Daum
Bill Andreopoulos
Esther Singer
Shweta Deshpande
Robert M. Bowers
Alex Copeland
Source :
Scientific data, vol 3, iss 1, Singer, E; Andreopoulos, B; Bowers, RM; Lee, J; Deshpande, S; Chiniquy, J; et al.(2016). Next generation sequencing data of a defined microbial mock community. Scientific Data, 3. doi: 10.1038/sdata.2016.81. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8mn9b4xw, Scientific Data
Publication Year :
2016
Publisher :
eScholarship, University of California, 2016.

Abstract

Generating sequence data of a defined community composed of organisms with complete reference genomes is indispensable for the benchmarking of new genome sequence analysis methods, including assembly and binning tools. Moreover the validation of new sequencing library protocols and platforms to assess critical components such as sequencing errors and biases relies on such datasets. We here report the next generation metagenomic sequence data of a defined mock community (Mock Bacteria ARchaea Community; MBARC-26), composed of 23 bacterial and 3 archaeal strains with finished genomes. These strains span 10 phyla and 14 classes, a range of GC contents, genome sizes, repeat content and encompass a diverse abundance profile. Short read Illumina and long-read PacBio SMRT sequences of this mock community are described. These data represent a valuable resource for the scientific community, enabling extensive benchmarking and comparative evaluation of bioinformatics tools without the need to simulate data. As such, these data can aid in improving our current sequence data analysis toolkit and spur interest in the development of new tools.

Details

Database :
OpenAIRE
Journal :
Scientific data, vol 3, iss 1, Singer, E; Andreopoulos, B; Bowers, RM; Lee, J; Deshpande, S; Chiniquy, J; et al.(2016). Next generation sequencing data of a defined microbial mock community. Scientific Data, 3. doi: 10.1038/sdata.2016.81. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8mn9b4xw, Scientific Data
Accession number :
edsair.doi.dedup.....5562cc5626a897a2ba91f3f7babb90df