Interactive visualization of transcriptional regulatory networks (TRNs) and gene expression heatmaps from Pokrovskii,... Miraldi et al. (2019) "Transcriptional regulatory networks that promote and restrict identities and functions of intestinal innate lymphoid cells".
This repository uses Jupyter notebooks to interactively visualize TRNs and gene expression heatmaps with jp_gene_viz
A step-by-step ILC network visualization guide is available.
This repository is designed to either run in the cloud using
Binder
or locally in a encapsulated container using
repo2docker
to build and run a docker container which includes
the code for running the analysis and all needed dependencies.
The repo2docker tool requires the docker infrastructure
and Python 3 to run. See the
installation instructions.
To build and run the docker image from the command line
jupyter-repo2docker https://github.com/flatironinstitute/ILCnetworks