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Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing
Single Molecule, Real-Time (SMRT(®)) Sequencing (Pacific Biosciences, Menlo Park, CA, USA) provides the longest continuous DNA sequencing reads currently available. However, the relatively high error rate in the raw read data requires novel analysis methods to deconvolute sequences derived from comp...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4787755/ https://www.ncbi.nlm.nih.gov/pubmed/26101252 http://dx.doi.org/10.1093/nar/gkv630 |
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author | Dilernia, Dario A. Chien, Jung-Ting Monaco, Daniela C. Brown, Michael P.S. Ende, Zachary Deymier, Martin J. Yue, Ling Paxinos, Ellen E. Allen, Susan Tirado-Ramos, Alfredo Hunter, Eric |
author_facet | Dilernia, Dario A. Chien, Jung-Ting Monaco, Daniela C. Brown, Michael P.S. Ende, Zachary Deymier, Martin J. Yue, Ling Paxinos, Ellen E. Allen, Susan Tirado-Ramos, Alfredo Hunter, Eric |
author_sort | Dilernia, Dario A. |
collection | PubMed |
description | Single Molecule, Real-Time (SMRT(®)) Sequencing (Pacific Biosciences, Menlo Park, CA, USA) provides the longest continuous DNA sequencing reads currently available. However, the relatively high error rate in the raw read data requires novel analysis methods to deconvolute sequences derived from complex samples. Here, we present a workflow of novel computer algorithms able to reconstruct viral variant genomes present in mixtures with an accuracy of >QV50. This approach relies exclusively on Continuous Long Reads (CLR), which are the raw reads generated during SMRT Sequencing. We successfully implement this workflow for simultaneous sequencing of mixtures containing up to forty different >9 kb HIV-1 full genomes. This was achieved using a single SMRT Cell for each mixture and desktop computing power. This novel approach opens the possibility of solving complex sequencing tasks that currently lack a solution. |
format | Online Article Text |
id | pubmed-4787755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47877552016-03-14 Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing Dilernia, Dario A. Chien, Jung-Ting Monaco, Daniela C. Brown, Michael P.S. Ende, Zachary Deymier, Martin J. Yue, Ling Paxinos, Ellen E. Allen, Susan Tirado-Ramos, Alfredo Hunter, Eric Nucleic Acids Res Methods Online Single Molecule, Real-Time (SMRT(®)) Sequencing (Pacific Biosciences, Menlo Park, CA, USA) provides the longest continuous DNA sequencing reads currently available. However, the relatively high error rate in the raw read data requires novel analysis methods to deconvolute sequences derived from complex samples. Here, we present a workflow of novel computer algorithms able to reconstruct viral variant genomes present in mixtures with an accuracy of >QV50. This approach relies exclusively on Continuous Long Reads (CLR), which are the raw reads generated during SMRT Sequencing. We successfully implement this workflow for simultaneous sequencing of mixtures containing up to forty different >9 kb HIV-1 full genomes. This was achieved using a single SMRT Cell for each mixture and desktop computing power. This novel approach opens the possibility of solving complex sequencing tasks that currently lack a solution. Oxford University Press 2015-11-16 2015-06-22 /pmc/articles/PMC4787755/ /pubmed/26101252 http://dx.doi.org/10.1093/nar/gkv630 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Dilernia, Dario A. Chien, Jung-Ting Monaco, Daniela C. Brown, Michael P.S. Ende, Zachary Deymier, Martin J. Yue, Ling Paxinos, Ellen E. Allen, Susan Tirado-Ramos, Alfredo Hunter, Eric Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing |
title | Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing |
title_full | Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing |
title_fullStr | Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing |
title_full_unstemmed | Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing |
title_short | Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing |
title_sort | multiplexed highly-accurate dna sequencing of closely-related hiv-1 variants using continuous long reads from single molecule, real-time sequencing |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4787755/ https://www.ncbi.nlm.nih.gov/pubmed/26101252 http://dx.doi.org/10.1093/nar/gkv630 |
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