clusterSeq
Clustering of high-throughput sequencing data by identifying co-expression patterns
Bioconductor version: 3.24 · Package version: 1.37.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Identification of clusters of co-expressed genes based on their expression across multiple (replicated) biological samples.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("clusterSeq")Details
| Maintainer | Samuel Granjeaud <samuel.granjeaud@inserm.fr> |
| Author | Thomas J. Hardcastle [aut], Irene Papatheodorou [aut], Samuel Granjeaud [cre] (ORCID: <https://orcid.org/0000-0001-9245-1535>) |
| License | GPL-3 |
| URL | https://github.com/samgg/clusterSeq |
| Bug Reports | https://github.com/samgg/clusterSeq/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software |
| Package Short Url | https://bioconductor.org/packages/clusterSeq/ |
Citation
From within R, enter citation("clusterSeq"):
Thomas J. Hardcastle, Irene Papatheodorou. clusterSeq: Clustering of high-throughput sequencing data by identifying co-expression patterns. doi:10.18129/B9.bioc.clusterSeq, R package version 1.37.0, https://bioconductor.org/packages/clusterSeq.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | clusterSeq_1.37.0.tar.gz |
| Windows binary (x86_64) | clusterSeq_1.37.0.zip |
| macOS binary (arm64) | clusterSeq_1.37.0.tgz |
| macOS binary (x86_64) | clusterSeq_1.37.0.tgz |
Dependencies
Depends: R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports: BiocGenerics
Suggests: BiocStyle