To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TCseq")

In most cases, you don't need to download the package archive at all.

TCseq

 

   

Time course sequencing data analysis

Bioconductor version: Release (3.5)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TCseq")

Documentation

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

browseVignettes("TCseq")

 

PDF R Script TCseq Vignette
PDF   Reference Manual

Details

biocViews ChIPSeq, Clustering, DifferentialExpression, Epigenetics, RNASeq, Sequencing, Software, TimeCourse, Visualization
Version 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (< 6 months)
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
LinkingTo
Suggests testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source TCseq_1.0.0.tar.gz
Windows Binary TCseq_1.0.0.zip
Mac OS X 10.11 (El Capitan) TCseq_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/TCseq/tree/release-3.5
Package Short Url http://bioconductor.org/packages/TCseq/
Package Downloads Report Download Stats

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