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OutSplice

Comparison of Splicing Events between Tumor and Normal Samples

Bioconductor version: 3.23 · Package version: 1.12.0

An easy to use tool that can compare splicing events in tumor and normal tissue samples using either a user generated matrix, or data from The Cancer Genome Atlas (TCGA). This package generates a matrix of splicing outliers that are significantly over or underexpressed in tumors samples compared to normal denoted by chromosome location. The package also will calculate the splicing burden in each tumor and characterize the types of splicing events that occur.

Installation

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

BiocManager::install("OutSplice")

Details

MaintainerTheresa Guo <twguo@health.ucsd.edu>
AuthorJoseph Bendik [aut] (ORCID: <https://orcid.org/0000-0003-0877-5639>), Sandhya Kalavacherla [aut] (ORCID: <https://orcid.org/0000-0003-0485-9042>), Michael Considine [aut] (ORCID: <https://orcid.org/0000-0002-8666-4857>), Bahman Afsari [aut] (ORCID: <https://orcid.org/0000-0001-8717-7199>), Michael F. Ochs [aut], Joseph Califano [aut] (ORCID: <https://orcid.org/0000-0002-4715-6761>), Daria A. Gaykalova [aut] (ORCID: <https://orcid.org/0000-0001-5037-0147>), Elana Fertig [aut] (ORCID: <https://orcid.org/0000-0003-3204-342X>), Theresa Guo [cre, aut] (ORCID: <https://orcid.org/0000-0002-1689-3275>)
LicenseGPL-2
URLhttps://github.com/GuoLabUCSD/OutSplice
Bug Reportshttps://github.com/GuoLabUCSD/OutSplice/issues
Downloads rank403
Source branchRELEASE_3_23
biocViewsAlternativeSplicing, DifferentialExpression, DifferentialSplicing, GeneExpression, RNASeq, Software, VariantAnnotation

Documentation

Download

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

Source packageOutSplice_1.12.0.tar.gz
Windows binary (x86_64)OutSplice_1.12.0.zip
macOS binary (arm64)OutSplice_1.12.0.tgz
macOS binary (x86_64)OutSplice_1.12.0.tgz
Dependencies

Depends: R (>= 4.3)

Imports: AnnotationDbi (>= 1.60.0), GenomicRanges (>= 1.49.0), GenomicFeatures (>= 1.50.2), IRanges (>= 2.32.0), org.Hs.eg.db (>= 3.16.0), TxDb.Hsapiens.UCSC.hg19.knownGene (>= 3.2.2), TxDb.Hsapiens.UCSC.hg38.knownGene (>= 3.16.0), S4Vectors (>= 0.36.0)

Suggests: BiocStyle, knitr, rmarkdown, testthat