This is a place for some simple code that demonstrates models etc. run on the MGD single-cell -omics data.
Why use MouseGastrulationData? It has well annotated:
- Multi-sample, multi-timepoint scRNA-seq data from the gastrulation atlas
- Perturbation scRNA-seq data from the chimaeras
- (soon) scATAC-seq data from E8.25 embryos (with matched scRNA-seq in the atlas)
- (soon) Spatial transcriptomic data from E8.5 embryos.
all of which can be accessed using ExperimentHub and saved as loom files.
-
Make the singularity images from
images
-
Prepare the data with
get-data
scripts -
Run the scripts with the relevant image! Scripts for a method are contained in their own folders. The naming should be self-explanatory for images (e.g.
bioc.sif
is for the R code).
If you have a method you would like to demonstrate, please do contribute it here - pull requests are very welcome. Just make a folder that contains the scripts to run your code, and a definition file for a singularity image (or a docker image).