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("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 |
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 |
Linking To | |
Suggests | testthat |
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URL |
See More
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Imports Me | |
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Build Report |
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/ |
Package Downloads Report | Download Stats |