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.
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("TCseq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TCseq")
R Script | TCseq Vignette | |
Reference Manual |
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 | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
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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