MinIONQC: Fast and simple quality control for MinION sequencing data

R. Lanfear; M. Schalamun; D. Kainer; W. Wang; B. Schwessinger

doi:10.1093/bioinformatics/bty654

MinIONQC: Fast and simple quality control for MinION sequencing data

R. Lanfear^*, M. Schalamun, D. Kainer, W. Wang, B. Schwessinger

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

117 Citations (Scopus)

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.

Original language	English
Pages (from-to)	523-525
Number of pages	3
Journal	Bioinformatics
Volume	35
Issue number	3
DOIs	https://doi.org/10.1093/bioinformatics/bty654
Publication status	Published - 1 Feb 2019

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10.1093/bioinformatics/bty654

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AB - 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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MinIONQC: Fast and simple quality control for MinION sequencing data

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