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Rapid genotyping of targeted viral samples using Illumina short-read sequencing data

The most important information about microorganisms might be their accurate genome sequence. Using current Next Generation Sequencing methods, sequencing data can be generated at an unprecedented pace. However, we still lack tools for the automated and accurate reference-based genotyping of viral se...

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Autores principales: Váradi, Alex, Kaszab, Eszter, Kardos, Gábor, Prépost, Eszter, Szarka, Krisztina, Laczkó, Levente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481040/
https://www.ncbi.nlm.nih.gov/pubmed/36112576
http://dx.doi.org/10.1371/journal.pone.0274414
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author Váradi, Alex
Kaszab, Eszter
Kardos, Gábor
Prépost, Eszter
Szarka, Krisztina
Laczkó, Levente
author_facet Váradi, Alex
Kaszab, Eszter
Kardos, Gábor
Prépost, Eszter
Szarka, Krisztina
Laczkó, Levente
author_sort Váradi, Alex
collection PubMed
description The most important information about microorganisms might be their accurate genome sequence. Using current Next Generation Sequencing methods, sequencing data can be generated at an unprecedented pace. However, we still lack tools for the automated and accurate reference-based genotyping of viral sequencing reads. This paper presents our pipeline designed to reconstruct the dominant consensus genome of viral samples and analyze their within-host variability. We benchmarked our approach on numerous datasets and showed that the consensus genome of samples could be obtained reliably without further manual data curation. Our pipeline can be a valuable tool for fast identifying viral samples. The pipeline is publicly available on the project’s GitHub page (https://github.com/laczkol/QVG).
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spelling pubmed-94810402022-09-17 Rapid genotyping of targeted viral samples using Illumina short-read sequencing data Váradi, Alex Kaszab, Eszter Kardos, Gábor Prépost, Eszter Szarka, Krisztina Laczkó, Levente PLoS One Research Article The most important information about microorganisms might be their accurate genome sequence. Using current Next Generation Sequencing methods, sequencing data can be generated at an unprecedented pace. However, we still lack tools for the automated and accurate reference-based genotyping of viral sequencing reads. This paper presents our pipeline designed to reconstruct the dominant consensus genome of viral samples and analyze their within-host variability. We benchmarked our approach on numerous datasets and showed that the consensus genome of samples could be obtained reliably without further manual data curation. Our pipeline can be a valuable tool for fast identifying viral samples. The pipeline is publicly available on the project’s GitHub page (https://github.com/laczkol/QVG). Public Library of Science 2022-09-16 /pmc/articles/PMC9481040/ /pubmed/36112576 http://dx.doi.org/10.1371/journal.pone.0274414 Text en © 2022 Váradi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Váradi, Alex
Kaszab, Eszter
Kardos, Gábor
Prépost, Eszter
Szarka, Krisztina
Laczkó, Levente
Rapid genotyping of targeted viral samples using Illumina short-read sequencing data
title Rapid genotyping of targeted viral samples using Illumina short-read sequencing data
title_full Rapid genotyping of targeted viral samples using Illumina short-read sequencing data
title_fullStr Rapid genotyping of targeted viral samples using Illumina short-read sequencing data
title_full_unstemmed Rapid genotyping of targeted viral samples using Illumina short-read sequencing data
title_short Rapid genotyping of targeted viral samples using Illumina short-read sequencing data
title_sort rapid genotyping of targeted viral samples using illumina short-read sequencing data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481040/
https://www.ncbi.nlm.nih.gov/pubmed/36112576
http://dx.doi.org/10.1371/journal.pone.0274414
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