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TCseq

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

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

Time course sequencing data analysis

Bioconductor version: Development (3.18)

Quantitative and differential analysis of epigenomic and transcriptomic time course sequencing data, clustering analysis and visualization of temporal patterns of time course data.

Author: Mengjun Wu <minervajunjun at gmail.com>, Lei Gu <leigu at broadinstitute.org>

Maintainer: Mengjun Wu <minervajunjun at gmail.com>

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

Installation

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

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

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

BiocManager::install("TCseq")

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

Documentation

Reference Manual PDF

Details

biocViews ChIPSeq, Clustering, DifferentialExpression, Epigenetics, RNASeq, Sequencing, Software, TimeCourse, Visualization
Version 1.25.1
In Bioconductor since BioC 3.5 (R-3.4) (6.5 years)
License GPL (>= 2)
Depends R (>= 3.4)
Imports edgeR, BiocGenerics, reshape2, GenomicRanges, IRanges, SummarizedExperiment, GenomicAlignments, Rsamtools, e1071, cluster, ggplot2, grid, grDevices, stats, utils, methods, locfit
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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/TCseq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TCseq
Package Short Url https://bioconductor.org/packages/TCseq/
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