MusicvisualR stands for MUlti-sample SIngle-Cell data VISUALization R package. scRNA-seq and scATAC-seq data have gained increasing popularity as their power to characterize cell-type compositions from bulk tissue. This R package aims to facilitate the visualization of the transcriptomic and epigenetic landscape among multi-state samples. Basic R scripts include the plotting of scatter plot, violin plot, complex heatmap, etc.
You can install the released version of musicvisualR from CRAN with:
install.packages("musicvisualR")
And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("baigal628/musicvisualR")
This is a basic example which shows you how to solve a common problem:
#library(musicvisualR)
## basic example code
What is special about using README.Rmd
instead of just README.md
?
You can include R chunks like so:
#summary(cars)
You’ll still need to render README.Rmd
regularly, to keep README.md
up-to-date. devtools::build_readme()
is handy for this. You could also
use GitHub Actions to re-render README.Rmd
every time you push. An
example workflow can be found here:
https://github.com/r-lib/actions/tree/master/examples.
You can also embed plots, for example:
In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.