RNAshapeQC
RNA Coverage-Shape-Based Quality Control Metrics
Bioconductor version: 3.23 · Package version: 1.0.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RNAshapeQC") Details
| Maintainer | Miyeon Yeon <myeon@uthsc.edu> |
| Author | Miyeon Yeon [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-1618-0643>), Won-Young Choi [aut, cph] (ORCID: <https://orcid.org/0009-0003-8276-2235>), Jin Young Lee [ctb] (ORCID: <https://orcid.org/0000-0002-5366-7488>), Katherine A. Hoadley [aut] (ORCID: <https://orcid.org/0000-0002-1216-477X>), D. Neil Hayes [aut, fnd, cph] (ORCID: <https://orcid.org/0000-0001-6203-7771>), Hyo Young Choi [aut, cph] (ORCID: <https://orcid.org/0000-0002-7627-8493>) |
| License | MIT + file LICENSE |
| URL | https://github.com/hyochoi/RNAshapeQC |
| Bug Reports | https://github.com/hyochoi/RNAshapeQC/issues |
| Downloads rank | 55 |
| Source branch | RELEASE_3_23 |
| biocViews | Coverage, QualityControl, RNASeq, Sequencing, Software, Transcriptomics |
Documentation
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Dependencies
Depends: R (>= 4.4)
Imports: GenomicRanges, IRanges, Rsamtools, foreach, zoo, ggplot2, dplyr, magrittr, tidyr, ComplexHeatmap, circlize, dendextend, DescTools, ggpubr, MASS, SummarizedExperiment, BiocParallel
Suggests: doParallel, knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0), PupillometryR, matrixStats, RColorBrewer, scales, tibble, patchwork, ConsensusClusterPlus