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Data and notebooks for "Leveraging ATAC-seq data for transcriptional regulatory inference in Th17 Cells" by Miraldi et al.

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Th17_TRN_Networks

This repository contains interactive visualization of transcriptional regulatory networks and gene expression data from:

Miraldi et al., Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells.

The repository has been designed to run in the cloud based Binder service. Click the binder link above to launch a binder container running the notebooks

The repository is designed to use repo2docker to build 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 the docker image from the command line

jupyter-repo2docker --no-run \
    --image-name th17 \
    https://github.com/simonsfoundation/Th17_TRN_Networks

To run the image after it has been built use docker run:

docker run -it --rm -p 8888:8888 th17:latest

When the docker instance starts up the log output looks like this:

[I 19:34:40.443 NotebookApp] Writing notebook server cookie secret to /home/rstudio/.local/share/jupyter/runtime/notebook_cookie_secret
[I 19:34:40.935 NotebookApp] Serving notebooks from local directory: /home/rstudio
[I 19:34:40.935 NotebookApp] 0 active kernels
[I 19:34:40.935 NotebookApp] The Jupyter Notebook is running at:
[I 19:34:40.935 NotebookApp] http://0.0.0.0:8888/?token=7baca1829f0665df26adf9943c6f04279647171eb3ffd12c
[I 19:34:40.935 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 19:34:40.935 NotebookApp] No web browser found: could not locate runnable browser.
[C 19:34:40.936 NotebookApp] 
    
    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://0.0.0.0:8888/?token=7baca1829f0665df26adf9943c6f04279647171eb3ffd12c

Paste the http:... URL into your browser including your token (which will be different from the one shown above) to connect to the Jupyter server.

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Data and notebooks for "Leveraging ATAC-seq data for transcriptional regulatory inference in Th17 Cells" by Miraldi et al.

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