Bioconductor 3.22 Released

IONiseR

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 (3.23)

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 gmail.com>

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

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("IONiseR")

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

Documentation

Reference Manual PDF

Details

biocViews DataImport, QualityControl, Sequencing, Software
Version 2.35.0
In Bioconductor since BioC 3.2 (R-3.2) (10 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
System Requirements
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Suggests BiocStyle, knitr, rmarkdown, gridExtra, testthat, minionSummaryData
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/IONiseR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/IONiseR
Package Short Url https://bioconductor.org/packages/IONiseR/
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