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CleanUpRNAseq

Detect and Correct Genomic DNA Contamination in RNA-seq Data

Bioconductor version: 3.24 · Package version: 1.7.0

RNA-seq data generated by some library preparation methods, such as rRNA-depletion-based method and the SMART-seq method, might be contaminated by genomic DNA (gDNA), if DNase I disgestion is not performed properly during RNA preparation. CleanUpRNAseq is developed to check if RNA-seq data is suffered from gDNA contamination. If so, it can perform correction for gDNA contamination and reduce false discovery rate of differentially expressed genes.

Installation

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

BiocManager::install("CleanUpRNAseq")

Details

MaintainerHaibo Liu <haibo.liu@umassmed.edu>
AuthorHaibo Liu [aut, cre] (ORCID: <https://orcid.org/0000-0002-4213-2883>), Kevin O'Connor [ctb], Michelle Kelliher [ctb], Lihua Julie Zhu [aut], Kai Hu [aut]
LicenseGPL-3
Bug Reportshttps://github.com/haibol2016/CleanUpRNAseq/issues
Downloads rank389
Source branchdevel
biocViewsGeneExpression, QualityControl, Sequencing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageCleanUpRNAseq_1.7.0.tar.gz
Windows binary (x86_64)CleanUpRNAseq_1.7.0.zip
macOS binary (arm64)CleanUpRNAseq_1.7.0.tgz
macOS binary (x86_64)CleanUpRNAseq_1.7.0.tgz
Dependencies

Depends: R (>= 4.4.0)

Imports: AnnotationFilter, BiocGenerics, Biostrings, BSgenome, DESeq2, edgeR, ensembldb, Seqinfo, GenomicRanges, ggplot2, ggrepel, graphics, grDevices, KernSmooth, limma, methods, pheatmap, qsmooth, R6, RColorBrewer, Rsamtools, Rsubread, reshape2, SummarizedExperiment, stats, tximport, utils

Suggests: BiocStyle, BSgenome.Hsapiens.UCSC.hg38, EnsDb.Hsapiens.v86, ggplotify, knitr, patchwork, R.utils, rmarkdown, testthat (>= 3.0.0)