Builds a docker container wrapping higlass-server and higlass-client in nginx
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Builds a docker container wrapping higlass-client and higlass-server in nginx, tests that it works, and if there are no errors in the PR, pushes the image to DockerHub.

Running locally

You can see HiGlass in action at

It is also easy to launch your own. Install Docker, and then:

docker pull gehlenborglab/higlass # Ensure that you have the latest.
docker run --detach \
           --publish 8888:80 \
           --volume ~/hg-data:/data \
           --volume ~/hg-tmp:/tmp \
           --name higlass-container \

The two --volume options are necessary to prevent the files you upload from consuming all of relatively small space allocated for the root volume.

For ingest, you'll need to put your files in one of the shared directories: Then it will be available to scripts running inside the container.

# For example... 
wget -P ~/hg-tmp$COOLER

# Confirm that the file is visible inside the container:
docker exec higlass-container ls /tmp

# Ingest:
docker exec higlass-container python higlass-server/ ingest_tileset --filename /tmp/$COOLER --filetype cooler --datatype matrix

You can now hit the API to confirm that the file was ingested successfully by first listing the available tilesets

curl http://localhost:8888/api/v1/tilesets/

And then trying to actually get some data from the tileset. In the examples below, $ID is the uuid shown in the list of tilesets above.

# Summary:
curl http://localhost:8888/api/v1/tileset_info/?d=$ID
# Details:
curl http://localhost:8888/api/v1/tiles/?d=$ID.0.0.0

Django admin interface

The admin interface lets you interact with and inspect the data stored in the local higlass instance. To access the admin interface you need to first create an admin user:

docker exec -it higlass-container higlass-server/ createsuperuser

The admin interface can then be accessed at: http://localhost:8888/admin/


Only one Docker container is required, but in production, you'll probably want other containers for nginx, redis, etc. Docker Compose is the usual tool for this, but at the present it does not support an analog to the --from-cache option. Instead, for the moment, we are doing this:

curl | bash

For more details, read README-DEPLOY.


To develop higlass-client and higlass-server, check out the corresponding repos.

To work on the Docker deployment, checkout this repo, install Docker, and then:


# You can see the containers that have started:
docker ps

# View all the logs from the container:
docker exec container-TIMESTAMP ./

# and you can connect to a running container:
docker exec --interactive --tty container-TIMESTAMP bash

# or remove all containers (use with caution):
docker ps -a -q | xargs docker stop | xargs docker rm

Releasing updates

Travis will push an image to DockerHub with every successful run. If it's tagged (ie git tag v0.0.x && git push origin --tags), then that version number will be pushed to DockerHub, and latest will be updated as well.


The code in this repository is provided under the MIT License.