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Bioconductor - CleanUpRNAseq

CleanUpRNAseq

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

Detect and Correct Genomic DNA Contamination in RNA-seq Data

Bioconductor version: Release (3.21)

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.

Author: Haibo Liu [aut, cre] ORCID: 0000-0002-4213-2883 , Kevin O'Connor [ctb], Michelle Kelliher [ctb], Lihua Julie Zhu [aut], Kai Hu [aut]

Maintainer: Haibo Liu <haibo.liu at umassmed.edu>

Citation (from within R, enter citation("CleanUpRNAseq")): Installation

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("CleanUpRNAseq")

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("CleanUpRNAseq")
CleanUpRNAseq: detecting and correcting for DNA contamination\nin RNA-seq data HTML R Script Reference Manual PDF NEWS Text Details biocViews GeneExpression, QualityControl, Sequencing, Software Version 1.2.0 In Bioconductor since BioC 3.20 (R-4.4) (0.5 years) License GPL-3 Depends R (>= 4.4.0) Imports AnnotationFilter, BiocGenerics, Biostrings, BSgenome, DESeq2, edgeR, ensembldb, GenomeInfoDb, GenomicRanges, ggplot2, ggrepel, graphics, grDevices, KernSmooth, limma, methods, pheatmap, qsmooth, R6, RColorBrewer, Rsamtools, Rsubread, reshape2, SummarizedExperiment, stats, tximport, utils System Requirements URL Bug Reports https://github.com/haibol2016/CleanUpRNAseq/issues See More Package Archives

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


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