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

Bioinformatics. 2019 Feb 1;35(3):523-525. doi: 10.1093/bioinformatics/bty654.

Authors

R Lanfear¹, M Schalamun¹, D Kainer¹, W Wang¹, B Schwessinger¹

Affiliation

¹ The Research School of Biology, Australian National University, Canberra ACT 2601, Australia.

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology
Gene Library
High-Throughput Nucleotide Sequencing*
Quality Control
Sequence Analysis, DNA*
Software*