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Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015
Nasopharyngeal swabs were taken from volunteers attending a general medical practice and a general hospital in Lancaster, UK, and at Lancaster University, in the winter of 2014–2015. 51 swabs were selected based on high RNA yield and allocated to deep sequencing pools as follows: patients with chron...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654362/ https://www.ncbi.nlm.nih.gov/pubmed/29064471 http://dx.doi.org/10.1038/sdata.2017.161 |
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author | Atkinson, Kate V. Bishop, Lisa A. Rhodes, Glenn Salez, Nicolas McEwan, Neil R. Hegarty, Matthew J. Robey, Julie Harding, Nicola Wetherell, Simon Lauder, Robert M. Pickup, Roger W. Wilkinson, Mark Gatherer, Derek |
author_facet | Atkinson, Kate V. Bishop, Lisa A. Rhodes, Glenn Salez, Nicolas McEwan, Neil R. Hegarty, Matthew J. Robey, Julie Harding, Nicola Wetherell, Simon Lauder, Robert M. Pickup, Roger W. Wilkinson, Mark Gatherer, Derek |
author_sort | Atkinson, Kate V. |
collection | PubMed |
description | Nasopharyngeal swabs were taken from volunteers attending a general medical practice and a general hospital in Lancaster, UK, and at Lancaster University, in the winter of 2014–2015. 51 swabs were selected based on high RNA yield and allocated to deep sequencing pools as follows: patients with chronic obstructive pulmonary disease; asthmatics; adults with no respiratory symptoms; adults with feverish respiratory symptoms; adults with respiratory symptoms and presence of antibodies against influenza C; paediatric patients with respiratory symptoms (2 pools); adults with influenza C infection (2 pools), giving a total of 9 pools. Illumina sequencing was performed, with data yields per pool in the range of 345.6 megabases to 14 gigabases after removal of reads aligning to the human genome. The data were deposited in the Sequence Read Archive at NCBI, and constitute a resource for study of the viral, bacterial and fungal metagenome of the human nasopharynx in healthy and diseased states and comparison with other metagenomic studies on the human respiratory tract. |
format | Online Article Text |
id | pubmed-5654362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56543622017-10-30 Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015 Atkinson, Kate V. Bishop, Lisa A. Rhodes, Glenn Salez, Nicolas McEwan, Neil R. Hegarty, Matthew J. Robey, Julie Harding, Nicola Wetherell, Simon Lauder, Robert M. Pickup, Roger W. Wilkinson, Mark Gatherer, Derek Sci Data Data Descriptor Nasopharyngeal swabs were taken from volunteers attending a general medical practice and a general hospital in Lancaster, UK, and at Lancaster University, in the winter of 2014–2015. 51 swabs were selected based on high RNA yield and allocated to deep sequencing pools as follows: patients with chronic obstructive pulmonary disease; asthmatics; adults with no respiratory symptoms; adults with feverish respiratory symptoms; adults with respiratory symptoms and presence of antibodies against influenza C; paediatric patients with respiratory symptoms (2 pools); adults with influenza C infection (2 pools), giving a total of 9 pools. Illumina sequencing was performed, with data yields per pool in the range of 345.6 megabases to 14 gigabases after removal of reads aligning to the human genome. The data were deposited in the Sequence Read Archive at NCBI, and constitute a resource for study of the viral, bacterial and fungal metagenome of the human nasopharynx in healthy and diseased states and comparison with other metagenomic studies on the human respiratory tract. Nature Publishing Group 2017-10-24 /pmc/articles/PMC5654362/ /pubmed/29064471 http://dx.doi.org/10.1038/sdata.2017.161 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Atkinson, Kate V. Bishop, Lisa A. Rhodes, Glenn Salez, Nicolas McEwan, Neil R. Hegarty, Matthew J. Robey, Julie Harding, Nicola Wetherell, Simon Lauder, Robert M. Pickup, Roger W. Wilkinson, Mark Gatherer, Derek Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015 |
title | Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015 |
title_full | Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015 |
title_fullStr | Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015 |
title_full_unstemmed | Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015 |
title_short | Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015 |
title_sort | nasopharyngeal metagenomic deep sequencing data, lancaster, uk, 2014–2015 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654362/ https://www.ncbi.nlm.nih.gov/pubmed/29064471 http://dx.doi.org/10.1038/sdata.2017.161 |
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