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Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies
During the past decade, DNA sequencing output has been mostly dominated by the second generation sequencing platforms which are characterized by low cost, high throughput and shorter read lengths for example, Illumina. The emergence and development of so called third generation sequencing platforms...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409012/ https://www.ncbi.nlm.nih.gov/pubmed/25977818 http://dx.doi.org/10.1038/sdata.2015.14 |
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author | Utturkar, Sagar M Klingeman, Dawn M Bruno-Barcena, José M Chinn, Mari S Grunden, Amy M Köpke, Michael Brown, Steven D |
author_facet | Utturkar, Sagar M Klingeman, Dawn M Bruno-Barcena, José M Chinn, Mari S Grunden, Amy M Köpke, Michael Brown, Steven D |
author_sort | Utturkar, Sagar M |
collection | PubMed |
description | During the past decade, DNA sequencing output has been mostly dominated by the second generation sequencing platforms which are characterized by low cost, high throughput and shorter read lengths for example, Illumina. The emergence and development of so called third generation sequencing platforms such as PacBio has permitted exceptionally long reads (over 20 kb) to be generated. Due to read length increases, algorithm improvements and hybrid assembly approaches, the concept of one chromosome, one contig and automated finishing of microbial genomes is now a realistic and achievable task for many microbial laboratories. In this paper, we describe high quality sequence datasets which span three generations of sequencing technologies, containing six types of data from four NGS platforms and originating from a single microorganism, Clostridium autoethanogenum. The dataset reported here will be useful for the scientific community to evaluate upcoming NGS platforms, enabling comparison of existing and novel bioinformatics approaches and will encourage interest in the development of innovative experimental and computational methods for NGS data. |
format | Online Article Text |
id | pubmed-4409012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44090122015-05-14 Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies Utturkar, Sagar M Klingeman, Dawn M Bruno-Barcena, José M Chinn, Mari S Grunden, Amy M Köpke, Michael Brown, Steven D Sci Data Data Descriptor During the past decade, DNA sequencing output has been mostly dominated by the second generation sequencing platforms which are characterized by low cost, high throughput and shorter read lengths for example, Illumina. The emergence and development of so called third generation sequencing platforms such as PacBio has permitted exceptionally long reads (over 20 kb) to be generated. Due to read length increases, algorithm improvements and hybrid assembly approaches, the concept of one chromosome, one contig and automated finishing of microbial genomes is now a realistic and achievable task for many microbial laboratories. In this paper, we describe high quality sequence datasets which span three generations of sequencing technologies, containing six types of data from four NGS platforms and originating from a single microorganism, Clostridium autoethanogenum. The dataset reported here will be useful for the scientific community to evaluate upcoming NGS platforms, enabling comparison of existing and novel bioinformatics approaches and will encourage interest in the development of innovative experimental and computational methods for NGS data. Nature Publishing Group 2015-04-14 /pmc/articles/PMC4409012/ /pubmed/25977818 http://dx.doi.org/10.1038/sdata.2015.14 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial 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-nc/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 Utturkar, Sagar M Klingeman, Dawn M Bruno-Barcena, José M Chinn, Mari S Grunden, Amy M Köpke, Michael Brown, Steven D Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies |
title | Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies |
title_full | Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies |
title_fullStr | Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies |
title_full_unstemmed | Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies |
title_short | Sequence data for Clostridium autoethanogenum using three generations of sequencing technologies |
title_sort | sequence data for clostridium autoethanogenum using three generations of sequencing technologies |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409012/ https://www.ncbi.nlm.nih.gov/pubmed/25977818 http://dx.doi.org/10.1038/sdata.2015.14 |
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