Rqc
Quality Control Tool for High-Throughput Sequencing Data
Bioconductor version: 3.23 · Package version: 1.46.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Rqc")Details
| Maintainer | Welliton Souza <well309@gmail.com> |
| Author | Welliton Souza, Benilton Carvalho <beniltoncarvalho@gmail.com> |
| License | GPL (>= 2) |
| URL | https://github.com/labbcb/Rqc |
| Bug Reports | https://github.com/labbcb/Rqc/issues |
| Downloads rank | 818 |
| Source branch | RELEASE_3_23 |
| biocViews | DataImport, QualityControl, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | Rqc_1.46.0.tar.gz |
| Windows binary (x86_64) | Rqc_1.46.0.zip |
| macOS binary (arm64) | Rqc_1.46.0.tgz |
| macOS binary (x86_64) | Rqc_1.46.0.tgz |
Dependencies
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
LinkingTo: Rcpp