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fastqcr
View on CRAN: Click
here
Download and install fastqcr package within the R console
Install from CRAN:
install.packages("fastqcr")
Install from Github:
library("remotes")
install_github("cran/fastqcr") Install by package version:
library("remotes")
install_version("fastqcr", "0.1.3") Attach the package and use:
library("fastqcr")
Maintained by
Alboukadel Kassambara
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-11
Latest Update: 2023-02-18
Description:
'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.
How to cite:
Alboukadel Kassambara (2017). fastqcr: Quality Control of Sequencing Data. R package version 0.1.3, https://cran.r-project.org/web/packages/fastqcr. Accessed 07 Oct. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for fastqcr
Functions, R codes and Examples using
the fastqcr R package
Some associated functions: fastqc . fastqc_install . qc_aggregate . qc_plot . qc_plot_collection . qc_problems . qc_read . qc_read_collection . qc_report . qc_unzip .
Some associated R codes: fastqc.R . fastqc_install.R . qc_aggregate.R . qc_plot.R . qc_plot_collection.R . qc_problems.R . qc_read.R . qc_read_collection.R . qc_report.R . qc_unzip.R . utilities.R . Full fastqcr package functions and examples
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