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

DOI: 10.18129/B9.bioc.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) (0.5 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
LinkingTo
Suggests testthat
SystemRequirements
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URL
Depends On Me
Imports Me
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Build Report

Package Archives

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

Source Package 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
Source Repository git clone https://git.bioconductor.org/packages/TCseq
Package Short Url http://bioconductor.org/packages/TCseq/
Package Downloads Report Download Stats

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