Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("cummeRbund")
To cite this package in a publication, start R and enter:
citation("cummeRbund")
cuffData_schema.pdf | ||
R Script | CummeRbund User Guide | |
ENCODE_SCV.pdf | ||
R Script | Sample cummeRbund workflow | |
Reference Manual | ||
Text | README | |
Text | NEWS |
biocViews | Bioinformatics, Clustering, DataImport, DataRepresentation, DifferentialExpression, GeneExpression, HighThroughputSequencing, HighThroughputSequencingData, Infrastructure, MultipleComparisons, QualityControl, RNAseq, RNAseqData, Software, Visualization |
Version | 2.2.0 |
In Bioconductor since | BioC 2.9 (R-2.14) |
License | Artistic-2.0 |
Depends | R (>= 2.7.0), BiocGenerics(>= 0.3.2), RSQLite, ggplot2, reshape2, fastcluster, rtracklayer, Gviz |
Imports | methods, plyr, BiocGenerics |
Suggests | cluster, plyr |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | oneChannelGUI |
Package Source | cummeRbund_2.2.0.tar.gz |
Windows Binary | cummeRbund_2.2.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | cummeRbund_2.2.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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