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SMURF-seq: efficient copy number profiling on long-read sequencers
We present SMURF-seq, a protocol to efficiently sequence short DNA molecules on a long-read sequencer by randomly ligating them to form long molecules. Applying SMURF-seq using the Oxford Nanopore MinION yields up to 30 fragments per read, providing an average of 6.2 and up to 7.5 million mappable f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615205/ https://www.ncbi.nlm.nih.gov/pubmed/31287019 http://dx.doi.org/10.1186/s13059-019-1732-1 |
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author | Prabakar, Rishvanth K. Xu, Liya Hicks, James Smith, Andrew D. |
author_facet | Prabakar, Rishvanth K. Xu, Liya Hicks, James Smith, Andrew D. |
author_sort | Prabakar, Rishvanth K. |
collection | PubMed |
description | We present SMURF-seq, a protocol to efficiently sequence short DNA molecules on a long-read sequencer by randomly ligating them to form long molecules. Applying SMURF-seq using the Oxford Nanopore MinION yields up to 30 fragments per read, providing an average of 6.2 and up to 7.5 million mappable fragments per run, increasing information throughput for read-counting applications. We apply SMURF-seq on the MinION to generate copy number profiles. A comparison with profiles from Illumina sequencing reveals that SMURF-seq attains similar accuracy. More broadly, SMURF-seq expands the utility of long-read sequencers for read-counting applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1732-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6615205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66152052019-07-18 SMURF-seq: efficient copy number profiling on long-read sequencers Prabakar, Rishvanth K. Xu, Liya Hicks, James Smith, Andrew D. Genome Biol Method We present SMURF-seq, a protocol to efficiently sequence short DNA molecules on a long-read sequencer by randomly ligating them to form long molecules. Applying SMURF-seq using the Oxford Nanopore MinION yields up to 30 fragments per read, providing an average of 6.2 and up to 7.5 million mappable fragments per run, increasing information throughput for read-counting applications. We apply SMURF-seq on the MinION to generate copy number profiles. A comparison with profiles from Illumina sequencing reveals that SMURF-seq attains similar accuracy. More broadly, SMURF-seq expands the utility of long-read sequencers for read-counting applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1732-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-08 /pmc/articles/PMC6615205/ /pubmed/31287019 http://dx.doi.org/10.1186/s13059-019-1732-1 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method Prabakar, Rishvanth K. Xu, Liya Hicks, James Smith, Andrew D. SMURF-seq: efficient copy number profiling on long-read sequencers |
title | SMURF-seq: efficient copy number profiling on long-read sequencers |
title_full | SMURF-seq: efficient copy number profiling on long-read sequencers |
title_fullStr | SMURF-seq: efficient copy number profiling on long-read sequencers |
title_full_unstemmed | SMURF-seq: efficient copy number profiling on long-read sequencers |
title_short | SMURF-seq: efficient copy number profiling on long-read sequencers |
title_sort | smurf-seq: efficient copy number profiling on long-read sequencers |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615205/ https://www.ncbi.nlm.nih.gov/pubmed/31287019 http://dx.doi.org/10.1186/s13059-019-1732-1 |
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