Welcome to the new bioconductor.org!

clusterSeq

Clustering of high-throughput sequencing data by identifying co-expression patterns


Bioconductor version: Release (3.18)

Identification of clusters of co-expressed genes based on their expression across multiple (replicated) biological samples.

Author: Thomas J. Hardcastle & Irene Papatheodorou

Maintainer: Thomas J. Hardcastle <tjh48 at cam.ac.uk>

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

Installation

To install this package, start R (version "4.3") and enter:


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

BiocManager::install("clusterSeq")

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("clusterSeq")
Advanced baySeq analyses PDF R Script
Reference Manual PDF

Details

biocViews Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software
Version 1.26.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL-3
Depends R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils
Imports BiocGenerics
System Requirements
URL
See More
Suggests BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package clusterSeq_1.26.0.tar.gz
Windows Binary clusterSeq_1.26.0.zip (64-bit only)
macOS Binary (x86_64) clusterSeq_1.26.0.tgz
macOS Binary (arm64) clusterSeq_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/clusterSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/clusterSeq
Bioc Package Browser https://code.bioconductor.org/browse/clusterSeq/
Package Short Url https://bioconductor.org/packages/clusterSeq/
Package Downloads Report Download Stats