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

Time course sequencing data analysis

Bioconductor version: Development (3.20)

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

Author: Mengjun Wu <minervajunjun at>, Lei Gu <leigu at>

Maintainer: Mengjun Wu <minervajunjun at>

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


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

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


To view documentation for the version of this package installed in your system, start R and enter:

TCseq Vignette PDF R Script
Reference Manual PDF


biocViews ChIPSeq, Clustering, DifferentialExpression, Epigenetics, RNASeq, Sequencing, Software, TimeCourse, Visualization
Version 1.29.0
In Bioconductor since BioC 3.5 (R-3.4) (7 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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Follow Installation instructions to use this package in your R session.

Source Package TCseq_1.29.0.tar.gz
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macOS Binary (x86_64) TCseq_1.29.0.tgz
macOS Binary (arm64) TCseq_1.29.0.tgz
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Source Repository (Developer Access) git clone
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