HSMMSingleCell
This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see HSMMSingleCell.
Single-cell RNA-Seq for differentiating human skeletal muscle myoblasts (HSMM)
Bioconductor version: 3.17
Skeletal myoblasts undergo a well-characterized sequence of morphological and transcriptional changes during differentiation. In this experiment, primary human skeletal muscle myoblasts (HSMM) were expanded under high mitogen conditions (GM) and then differentiated by switching to low-mitogen media (DM). RNA-Seq libraries were sequenced from each of several hundred cells taken over a time-course of serum-induced differentiation. Between 49 and 77 cells were captured at each of four time points (0, 24, 48, 72 hours) following serum switch using the Fluidigm C1 microfluidic system. RNA from each cell was isolated and used to construct mRNA-Seq libraries, which were then sequenced to a depth of ~4 million reads per library, resulting in a complete gene expression profile for each cell.
Author: Cole Trapnell
Maintainer: Cole Trapnell <cole at broadinstitute.org>
citation("HSMMSingleCell")
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Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HSMMSingleCell")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | ExperimentData, RNASeqData |
Version | 1.20.0 |
License | Artistic-2.0 |
Depends | R (>= 2.10) |
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System Requirements | |
URL |
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Depends On Me | |
Imports Me | monocle |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | HSMMSingleCell_1.20.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/HSMMSingleCell |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/HSMMSingleCell |
Package Short Url | https://bioconductor.org/packages/HSMMSingleCell/ |
Package Downloads Report | Download Stats |