MinIONQC: fast and simple quality control for MinION sequencing data

DOI PDF 4 Citations
  • R Lanfear
    The Research School of Biology, Australian National University, Canberra ACT 2601, Australia
  • M Schalamun
    The Research School of Biology, Australian National University, Canberra ACT 2601, Australia
  • D Kainer
    The Research School of Biology, Australian National University, Canberra ACT 2601, Australia
  • W Wang
    The Research School of Biology, Australian National University, Canberra ACT 2601, Australia
  • B Schwessinger
    The Research School of Biology, Australian National University, Canberra ACT 2601, Australia
  • John Hancock
    editor

Description

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Summary</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Availability and implementation</jats:title> <jats:p>MinIONQC is implemented in R and released under an MIT license. It is available for all platforms from https://github.com/roblanf/minion_qc.</jats:p> </jats:sec>

Journal

  • Bioinformatics

    Bioinformatics 35 (3), 523-525, 2018-07-23

    Oxford University Press (OUP)

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