DOI: 10.18129/B9.bioc.Rqc    

Quality Control Tool for High-Throughput Sequencing Data

Bioconductor version: Release (3.6)

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")):


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## try http:// if https:// URLs are not supported


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biocViews DataImport, QualityControl, Sequencing, Software
Version 1.12.0
In Bioconductor since BioC 3.0 (R-3.1) (3.5 years)
License GPL (>= 2)
Depends BiocParallel, ShortRead, ggplot2
Imports BiocGenerics, Biostrings, IRanges, methods, S4Vectors, knitr (>= 1.7), BiocStyle, plyr, markdown, grid, reshape2, digest, Rcpp (>= 0.11.6), biovizBase, shiny, Rsamtools, GenomicAlignments, GenomicFiles
LinkingTo Rcpp
Suggests testthat
URL https://github.com/labbcb/Rqc
BugReports https://github.com/labbcb/Rqc/issues
Depends On Me
Imports Me
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Follow Installation instructions to use this package in your R session.

Source Package Rqc_1.12.0.tar.gz
Windows Binary Rqc_1.12.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) Rqc_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Rqc
Package Short Url http://bioconductor.org/packages/Rqc/
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