Bioc2026 Registration Open!

RNAshapeQC

This is the released version of RNAshapeQC; for the devel version, see RNAshapeQC.

RNA Coverage-Shape-Based Quality Control Metrics


Bioconductor version: Release (3.23)

RNAshapeQC provides coverage-shape-based quality control (QC) metrics for mRNA-seq and total RNA-seq data. It supports per-gene pileup construction from BAM files as well as toy datasets for quick-start examples. The package implements protocol-specific metrics, including decay rate (DR), degradation score (DS), mean coverage depth (MCD), window coefficient of variation (wCV), area under the curve (AUC), and shape-based sample-level indices. RNAshapeQC also includes HPC-friendly functions for per-gene batch processing and cross-study pileup generation. This package enables interpretable, protocol-specific QC assessments for diverse RNA-seq workflows.

Author: Miyeon Yeon [aut, cre, cph] ORCID iD ORCID: 0000-0003-1618-0643 , Won-Young Choi [aut, cph] ORCID iD ORCID: 0009-0003-8276-2235 , Jin Young Lee [ctb] ORCID iD ORCID: 0000-0002-5366-7488 , Katherine A. Hoadley [aut] ORCID iD ORCID: 0000-0002-1216-477X , D. Neil Hayes [aut, fnd, cph] ORCID iD ORCID: 0000-0001-6203-7771 , Hyo Young Choi [aut, cph] ORCID iD ORCID: 0000-0002-7627-8493

Maintainer: Miyeon Yeon <myeon at uthsc.edu>

Citation (from within R, enter citation("RNAshapeQC")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

BiocManager::install("RNAshapeQC")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RNAshapeQC")
RNAshapeQC: Quick Start Tutorial HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Coverage, QualityControl, RNASeq, Sequencing, Software, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.23 (R-4.6) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.4)
Imports GenomicRanges, IRanges, Rsamtools, foreach, zoo, ggplot2, dplyr, magrittr, tidyr, ComplexHeatmap, circlize, dendextend, DescTools, ggpubr, MASS, SummarizedExperiment, BiocParallel
System Requirements
URL https://github.com/hyochoi/RNAshapeQC
Bug Reports https://github.com/hyochoi/RNAshapeQC/issues
See More
Suggests doParallel, knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0), PupillometryR, matrixStats, RColorBrewer, scales, tibble, patchwork, ConsensusClusterPlus
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package RNAshapeQC_1.0.0.tar.gz
Windows Binary (x86_64) RNAshapeQC_1.0.0.zip
macOS Binary (big-sur-x86_64) RNAshapeQC_1.0.0.tgz
macOS Binary (sonoma-arm64) RNAshapeQC_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RNAshapeQC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RNAshapeQC
Bioc Package Browser https://code.bioconductor.org/browse/RNAshapeQC/
Package Short Url https://bioconductor.org/packages/RNAshapeQC/
Package Downloads Report Download Stats