The current version of this pipeline pulls the Docker image from a public AWS Elastic Container Registry. If you prefer to pull from Docker Hub (DH), please use the tagged version utilizing DH: v1_DH.
This repo contains the source files for a docker image stored in both 4dndcic/4dn-mcoolqc:v1 and AWS public.ecr.aws/dcic-4dn/4dn-mcoolqc:v1.
git clone https://github.com/4dn-dcic/docker-4dn-mcoolQC
cd docker-4dn-mcoolQC
Major software tools used inside the docker container are downloaded by the script downloads.sh. This script also creates a symlink to a version-independent folder for each software tool. In order to build an updated docker image with a new version of the tools, ideally only downloads.sh should be modified, but not Dockerfile, unless the new tool requires a specific APT tool that need to be downloaded.
The downloads.sh file also contains comment lines that specifies the name and version of individual software tools.
You need docker daemon to rebuild the docker image. If you want to push it to a different docker repo, replace 4dndcic/fastqc:v2 with your desired docker repo name. You need permission to push to 4dndcic/4dn-mcoolqc:v1.
docker build -t 4dndcic/4dn-mcoolqc:v1 .
docker push 4dndcic/4dn-mcoolqc:v1
You can skip this if you want to use an already built image on docker hub (image name 4dndcic/4dn-mcoolqc:v1). The command 'docker run' automatically pulls the image from docker hub.
Tool wrappers are under the scripts directory and follow naming conventions run*.sh. These wrappers are copied to the docker image at built time and may be used as a single step in a workflow.
# default
docker run 4dndcic/4dn-mcoolqc:v1
# specific run command
docker run 4dndcic/4dn-mcoolqc:v1 <run_script> <arg1> <arg2> ...
# may need -v option to mount data file/folder if they are used as arguments.
docker run -v /data1/:/d1/:rw -v /data2/:/d2/:rw 4dndcic/4dn-mcoolqc:v1 <run_script> /d1/file1 /d2/file2 ...
Runs mcoolqc on a given mcool file and produces an mcoolqc report.
- Input: an mcool file
- Output: an mcoolqc report
Run the following in the container
run-mcoolQC.sh <input_mcool> <outdir>
# input_mcool : an input mcool file
# outdir : output directory (This should be a mounted host directory, so that the output files are visible from the host and to avoid any bus error)