'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 DOI: 10.32614/CRAN.package.fastqcr 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=fastqcr to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4