To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Single.mTEC.Transcriptomes")
In most cases, you don't need to download the package archive at all.
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see Single.mTEC.Transcriptomes.
Bioconductor version: 3.3
This data package contains the code used to analyse the single-cell RNA-seq and the bulk ATAC-seq data from the manuscript titled: Single-cell transcriptome analysis reveals coordinated ectopic-gene expression patterns in medullary thymic epithelial cells. This paper was published in Nature Immunology 16,933-941(2015). The data objects provided in this package has been pre-processed: the raw data files can be downloaded from ArrayExpress under the accession identifiers E-MTAB-3346 and E-MTAB-3624. The vignette of this data package provides a documented and reproducible workflow that includes the code that was used to generate each statistic and figure from the manuscript.
Author: Alejandro Reyes
Maintainer: Alejandro Reyes <alejandro.reyes at embl.de>
Citation (from within R,
enter citation("Single.mTEC.Transcriptomes")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Single.mTEC.Transcriptomes")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Single.mTEC.Transcriptomes")
R Script | Analysis of single cell mTEC data. | |
Reference Manual |
biocViews | ExperimentData |
Version | 1.0.2 |
License | LGPL |
Depends | |
Imports | |
LinkingTo | |
Suggests | DESeq2, GenomicRanges, GenomicFeatures, genefilter, statmod, gdata, RColorBrewer, ggplot2, gplots, cluster, clue, grid, gridExtra, ggbio, Gviz, geneplotter, matrixStats, pheatmap, BiocStyle, knitr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | Single.mTEC.Transcriptomes_1.0.2.tar.gz |
Windows Binary | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/Single.mTEC.Transcriptomes/ |
Package Downloads Report | Download Stats |
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