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cummeRbund

This is the development version of cummeRbund; for the stable release version, see cummeRbund.

Analysis, exploration, manipulation, and visualization of Cufflinks high-throughput sequencing data.


Bioconductor version: Development (3.19)

Allows for persistent storage, access, exploration, and manipulation of Cufflinks high-throughput sequencing data. In addition, provides numerous plotting functions for commonly used visualizations.

Author: L. Goff, C. Trapnell, D. Kelley

Maintainer: Loyal A. Goff <lgoff at csail.mit.edu>

Citation (from within R, enter citation("cummeRbund")):

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("cummeRbund")

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

Documentation

Reference Manual PDF

Details

biocViews Bioinformatics, Clustering, DataImport, DataRepresentation, DifferentialExpression, GeneExpression, HighThroughputSequencing, HighThroughputSequencingData, Infrastructure, MultipleComparisons, QualityControl, RNAseq, RNAseqData, Software, Visualization
Version 2.45.0
In Bioconductor since BioC 2.9 (R-2.14) (12.5 years)
License Artistic-2.0
Depends R (>= 2.7.0), BiocGenerics(>= 0.3.2), RSQLite, ggplot2, reshape2, fastcluster, rtracklayer, Gviz
Imports methods, plyr, BiocGenerics, S4Vectors(>= 0.9.25), Biobase
System Requirements
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Suggests cluster, plyr, NMFN, stringr, GenomicFeatures, GenomicRanges, rjson
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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/cummeRbund
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cummeRbund
Package Short Url https://bioconductor.org/packages/cummeRbund/
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