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This is the development version of IONiseR; for the stable release version, see IONiseR.

Quality Assessment Tools for Oxford Nanopore MinION data

Bioconductor version: Development (3.20)

IONiseR provides tools for the quality assessment of Oxford Nanopore MinION data. It extracts summary statistics from a set of fast5 files and can be used either before or after base calling. In addition to standard summaries of the read-types produced, it provides a number of plots for visualising metrics relative to experiment run time or spatially over the surface of a flowcell.

Author: Mike Smith [aut, cre]

Maintainer: Mike Smith <grimbough at>

Citation (from within R, enter citation("IONiseR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Quality assessment tools for nanopore data HTML R Script
Reference Manual PDF


biocViews DataImport, QualityControl, Sequencing, Software
Version 2.29.0
In Bioconductor since BioC 3.2 (R-3.2) (8.5 years)
License MIT + file LICENSE
Depends R (>= 3.4)
Imports rhdf5, dplyr, magrittr, tidyr, ShortRead, Biostrings, ggplot2, methods, BiocGenerics, XVector, tibble, stats, BiocParallel, bit64, stringr, utils
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Suggests BiocStyle, knitr, rmarkdown, gridExtra, testthat, minionSummaryData
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Source Package IONiseR_2.29.0.tar.gz
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macOS Binary (x86_64) IONiseR_2.29.0.tgz
macOS Binary (arm64) IONiseR_2.29.0.tgz
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