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'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 |
| Reference manual: | fastqcr.pdf |
| 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, r-oldrel (x86_64): fastqcr_0.1.3.tgz |
| Old sources: | fastqcr archive |
| Reverse suggests: | curatedAdipoChIP, curatedAdipoRNA |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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