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Next generation sequencing data of a defined microbial mock community
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 asse...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037974/ https://www.ncbi.nlm.nih.gov/pubmed/27673566 http://dx.doi.org/10.1038/sdata.2016.81 |
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author | Singer, Esther Andreopoulos, Bill Bowers, Robert M. Lee, Janey Deshpande, Shweta Chiniquy, Jennifer Ciobanu, Doina Klenk, Hans-Peter Zane, Matthew Daum, Christopher Clum, Alicia Cheng, Jan-Fang Copeland, Alex Woyke, Tanja |
author_facet | Singer, Esther Andreopoulos, Bill Bowers, Robert M. Lee, Janey Deshpande, Shweta Chiniquy, Jennifer Ciobanu, Doina Klenk, Hans-Peter Zane, Matthew Daum, Christopher Clum, Alicia Cheng, Jan-Fang Copeland, Alex Woyke, Tanja |
author_sort | Singer, Esther |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5037974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50379742016-10-04 Next generation sequencing data of a defined microbial mock community Singer, Esther Andreopoulos, Bill Bowers, Robert M. Lee, Janey Deshpande, Shweta Chiniquy, Jennifer Ciobanu, Doina Klenk, Hans-Peter Zane, Matthew Daum, Christopher Clum, Alicia Cheng, Jan-Fang Copeland, Alex Woyke, Tanja Sci Data Data Descriptor 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. Nature Publishing Group 2016-09-27 /pmc/articles/PMC5037974/ /pubmed/27673566 http://dx.doi.org/10.1038/sdata.2016.81 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Singer, Esther Andreopoulos, Bill Bowers, Robert M. Lee, Janey Deshpande, Shweta Chiniquy, Jennifer Ciobanu, Doina Klenk, Hans-Peter Zane, Matthew Daum, Christopher Clum, Alicia Cheng, Jan-Fang Copeland, Alex Woyke, Tanja Next generation sequencing data of a defined microbial mock community |
title | Next generation sequencing data of a defined microbial mock community |
title_full | Next generation sequencing data of a defined microbial mock community |
title_fullStr | Next generation sequencing data of a defined microbial mock community |
title_full_unstemmed | Next generation sequencing data of a defined microbial mock community |
title_short | Next generation sequencing data of a defined microbial mock community |
title_sort | next generation sequencing data of a defined microbial mock community |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037974/ https://www.ncbi.nlm.nih.gov/pubmed/27673566 http://dx.doi.org/10.1038/sdata.2016.81 |
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