DOI: 10.18129/B9.bioc.Single.mTEC.Transcriptomes
This package is for version 3.8 of Bioconductor;
for the stable, up-to-date release version, see
Single.mTEC.Transcriptomes.
Single Cell Transcriptome Data and Analysis of Mouse mTEC cells
Bioconductor version: 3.8
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")
):
Installation
To install this package, start R (version
“3.5”) and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Single.mTEC.Transcriptomes")
For older versions of R, please refer to the appropriate
Bioconductor release.
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("Single.mTEC.Transcriptomes")
Analysis of single cell mTEC data. | ||
Reference Manual |
Details
biocViews | ExperimentData |
Version | 1.10.0 |
License | LGPL |
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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 | |
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Build Report |
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Installation instructions to use this
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