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Rqc

This is the development version of Rqc; for the stable release version, see Rqc.

Quality Control Tool for High-Throughput Sequencing Data


Bioconductor version: Development (3.19)

Rqc is an optimised tool designed for quality control and assessment of high-throughput sequencing data. It performs parallel processing of entire files and produces a report which contains a set of high-resolution graphics.

Author: Welliton Souza, Benilton Carvalho <beniltoncarvalho at gmail.com>

Maintainer: Welliton Souza <well309 at gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

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

BiocManager::install("Rqc")

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

Documentation

Reference Manual PDF

Details

biocViews DataImport, QualityControl, Sequencing, Software
Version 1.37.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License GPL (>= 2)
Depends BiocParallel, ShortRead, ggplot2
Imports BiocGenerics(>= 0.25.1), Biostrings, IRanges, methods, S4Vectors, knitr (>= 1.7), BiocStyle, plyr, markdown, grid, reshape2, Rcpp (>= 0.11.6), biovizBase, shiny, Rsamtools, GenomicAlignments, GenomicFiles
System Requirements
URL https://github.com/labbcb/Rqc
Bug Reports https://github.com/labbcb/Rqc/issues
See More
Suggests rmarkdown, testthat
Linking To Rcpp
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Package Archives

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

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