MinIONQC: fast and simple quality control for MinION sequencing data

SUMMARY: MinIONQC provides rapid diagnostic plots and quality control data from one or more flowcells of sequencing data from Oxford Nanopore Technologies’ MinION instrument. It can be used to assist with the optimisation of extraction, library preparation, and sequencing protocols, to quickly and d...

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Detalles Bibliográficos
Autores principales: Lanfear, R, Schalamun, M, Kainer, D, Wang, W, Schwessinger, B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361240/
https://www.ncbi.nlm.nih.gov/pubmed/30052755
http://dx.doi.org/10.1093/bioinformatics/bty654
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author Lanfear, R
Schalamun, M
Kainer, D
Wang, W
Schwessinger, B
author_facet Lanfear, R
Schalamun, M
Kainer, D
Wang, W
Schwessinger, B
author_sort Lanfear, R
collection PubMed
description SUMMARY: MinIONQC provides rapid diagnostic plots and quality control data from one or more flowcells of sequencing data from Oxford Nanopore Technologies’ MinION instrument. It can be used to assist with the optimisation of extraction, library preparation, and sequencing protocols, to quickly and directly compare the data from many flowcells, and to provide publication-ready figures summarising sequencing data. AVAILABILITY AND IMPLEMENTATION: MinIONQC is implemented in R and released under an MIT license. It is available for all platforms from https://github.com/roblanf/minion_qc.
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spelling pubmed-63612402019-02-08 MinIONQC: fast and simple quality control for MinION sequencing data Lanfear, R Schalamun, M Kainer, D Wang, W Schwessinger, B Bioinformatics Applications Notes SUMMARY: MinIONQC provides rapid diagnostic plots and quality control data from one or more flowcells of sequencing data from Oxford Nanopore Technologies’ MinION instrument. It can be used to assist with the optimisation of extraction, library preparation, and sequencing protocols, to quickly and directly compare the data from many flowcells, and to provide publication-ready figures summarising sequencing data. AVAILABILITY AND IMPLEMENTATION: MinIONQC is implemented in R and released under an MIT license. It is available for all platforms from https://github.com/roblanf/minion_qc. Oxford University Press 2019-02-01 2018-07-23 /pmc/articles/PMC6361240/ /pubmed/30052755 http://dx.doi.org/10.1093/bioinformatics/bty654 Text en © The Author(s) 2018. Published by Oxford University Press. 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 Applications Notes
Lanfear, R
Schalamun, M
Kainer, D
Wang, W
Schwessinger, B
MinIONQC: fast and simple quality control for MinION sequencing data
title MinIONQC: fast and simple quality control for MinION sequencing data
title_full MinIONQC: fast and simple quality control for MinION sequencing data
title_fullStr MinIONQC: fast and simple quality control for MinION sequencing data
title_full_unstemmed MinIONQC: fast and simple quality control for MinION sequencing data
title_short MinIONQC: fast and simple quality control for MinION sequencing data
title_sort minionqc: fast and simple quality control for minion sequencing data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361240/
https://www.ncbi.nlm.nih.gov/pubmed/30052755
http://dx.doi.org/10.1093/bioinformatics/bty654
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