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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
Author(s) -
Darío Dilernia,
Jung-Ting Chien,
Daniela C. Mónaco,
Michael Brown,
Zachary Ende,
Martin J. Deymier,
Ling Yue,
Ellen E. Paxinos,
Susan Allen,
Alfredo TiradoRamos,
Eric Hunter
Publication year - 2015
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkv630
Subject(s) - biology , single molecule real time sequencing , dna sequencing , computational biology , workflow , deep sequencing , illumina dye sequencing , sequence assembly , genome , whole genome sequencing , genetics , dna , computer science , dna sequencer , gene , database , transcriptome , gene expression
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.

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