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DNA Subway Green Line

This is the current implementation of the DNA Subway Green Line. The app catalog is implemented as Agave API applications based on Docker containers. The apps are kallisto/sleuth for quantification and differential analysis, and the Tuxedo 2 suite for novel splice sites discovery.

The repository is organized as follows: . ├── kallisto_sleuth │   ├── app-gl-ks.json │   ├── app-gl-ks-stampede2.json │   ├── docker │   │   ├── cleanup.sh │   │   ├── default_entrypoint.sh │   │   ├── Dockerfile │   │   ├── run-kallisto.sh │   │   ├── run-ks.sh │   │   ├── run-sleuth.r │   │   └── sleuth_install.r │   ├── test-ks.sh │   ├── test-ks-stampede2.sh │   ├── wrap-gl-ks.sh │   └── wrap-gl-ks-stampede2.sh ├── README.md └── tuxedo2 ├── docker │   ├── default_entrypoint.sh │   ├── Dockerfile │   ├── install-ballgown.r │   ├── run-ballgown.r │   ├── run-hisat2.sh │   ├── run-stringtie.sh │   └── run-tuxedo2.sh └── test-tuxedo2.sh

Converting docker image to Singularity

To run this workflow in some HPC environments such as Stampede2, Singularity must be used. Fortunately, it is possible to easily convert our Docker image to a Singularity one. This works with Docker version 1.6.0 or higher and Singularity 2.5.2

Start by running a local registry. We will use this registry to push the Docker image.

docker run -d -p 5000:5000 --restart=always --name registry registry:2

Then, if you haven't done so, build the Docker image.

docker build -t image_name .

Next, tag the newly built image and push it to the local registry.

docker tag image_name localhost:5000/image_name
docker push localhost:5000/image_name

If you want to test pulling the image from the local registry, you can delete image_name and localhost:5000/image_name and then pull localhost:5000/image_name from the registry.

docker pull localhost:5000/image_name

To build the Singularity image, run

SINGULARITY_NOHTTPS=true singularity build singularity_image_name.simg docker://localhost:5000/image_name

You can test the image to see if it was built successfully by running

singularity run singularity_image_name.simg

Finally, if you wish to stop the registry and remove it, run

docker container stop registry
docker container rm -v registry

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