fastqcr: Quality Control of Sequencing Data

'FASTQC' is the most widely used tool for evaluating the quality of high throughput sequencing data. It produces, for each sample, an html report and a compressed file containing the raw data. If you have hundreds of samples, you are not going to open up each 'HTML' page. You need some way of looking at these data in aggregate. 'fastqcr' Provides helper functions to easily parse, aggregate and analyze 'FastQC' reports for large numbers of samples. It provides a convenient solution for building a 'Multi-QC' report, as well as, a 'one-sample' report with result interpretations.

Version: 0.1.3
Depends: R (≥ 3.1.2)
Imports: dplyr, grid, gridExtra, ggplot2, magrittr, readr (≥ 1.3.0), rmarkdown (≥ 1.4), rvest, tibble, tidyr, scales, stats, utils, xml2, rlang
Suggests: knitr
Published: 2023-02-18
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara at gmail.com>
BugReports: https://github.com/kassambara/fastqcr/issues
License: GPL-2
URL: https://rpkgs.datanovia.com/fastqcr/index.html
NeedsCompilation: no
Materials: README NEWS
CRAN checks: fastqcr results

Documentation:

Reference manual: fastqcr.pdf

Downloads:

Package source: fastqcr_0.1.3.tar.gz
Windows binaries: r-devel: fastqcr_0.1.3.zip, r-release: fastqcr_0.1.3.zip, r-oldrel: fastqcr_0.1.3.zip
macOS binaries: r-release (arm64): fastqcr_0.1.3.tgz, r-oldrel (arm64): fastqcr_0.1.3.tgz, r-release (x86_64): fastqcr_0.1.3.tgz
Old sources: fastqcr archive

Reverse dependencies:

Reverse suggests: curatedAdipoChIP, curatedAdipoRNA

Linking:

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