ArticleBioinformatics (Oxford, England)2019
MinIONQC: fast and simple quality control for MinION sequencing data.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.
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Who cites it
112 citing papers in PubMed.
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- Clinical metagenomics analysis of bacterial and fungal microbiota from sputum of patients suspected with tuberculosis infection based on nanopore sequencing.Scientific reports · 2025Article
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- Pig and quail CpG methylation datasets from short and long read sequencing technologies.Scientific data · 2025Article
- Evaluation of long-read sequencing for Ostreid herpesvirus type 1 genome characterization fromMicrobiology spectrum · 2025Article
- Sequali: efficient and comprehensive quality control of short- and long-read sequencing data.Bioinformatics advances · 2025Article
- Clarifying species boundaries between bocachico (Frontiers in genetics · 2025Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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