GenomicsAotearoa / EWAS_DAP

EWAS Data Analysis

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EWAS (Epigenetic-Wide Association Study) Data Analysis Pipeline

This repository contains the code base for our EWAS pipeline tools.

To run locally

Build the docker and singularity images, make sure .env file contains the right values and then invoke ./run_ewas script

Building Docker image

Note: in most cases, to build the Docker image you need to have priviledged access. It is possible to run docker without 'sudo' if the system is configured appropriately (see https://askubuntu.com/questions/477551/how-can-i-use-docker-without-sudo for reference). Running rootless docker in rootless mode is also possible, more details on: https://docs.docker.com/engine/security/rootless/

  1. install docker as described here: https://docs.docker.com/engine/install/
  2. run sudo ./build_docker

Building Singularity image

Note: to build the Singularity image from the Docker image you need to have priviledged access

  1. install singularity as described here: https://sylabs.io/guides/3.3/user-guide/installation.html
  2. have the docker image already built
  3. run sudo ./build_singularity

Building all together

Note: all pre-requisites for building Docker and Singularity images apply as stated above

To build both Docker and Singularity images run sudo ./build

Environment variables

These are best set in the ewas_config file that should be placed in the user's home folder for security reasons as it contains email password. Sample ewas_config file is available in this project

EWAS_EMAIL_FROM - "from" email address to be used in the job report email
EWAS_EMAIL_HOST - email server host to be used for sending the job report email (i.e. smtp.gmail.com)
EWAS_EMAIL_PORT - email server port to be used for sending the job report email (i.e. 495)
EWAS_EMAIL_USER - email server's username used for login
EWAS_EMAIL_PASSWORD - email server's user password - KEEP CONFIDENTIAL !!!

Running the docker image

  1. Modify the .env file to set the correct variable values or set these in the current environment
  2. run sudo ./run_docker

Running the singularity image

  1. Modify the .env file to set the correct variable values or set these in the current environment
  2. run sudo ./run_ewas

To run on HPC/singularity

Note: you must first build the singularity image on a system where docker can run in priviledged mode:

  1. run "sudo ./build" to build the docker image and produce a corresponding singularity file (ewas.img)
  2. copy the ewas.img file to a location on the cluster where the job will run from

Then to run on the cluster:

  1. choose a unique port that is not used by somebody else, high port numbers are probably safe, e.g. > 10000, here we use 10083, replace it with your chosen port in the commands below
  2. set up port forwarding, e.g. on your local machine run ssh -L 10083:localhost:10083 mahuika
  3. edit the Slurm script run_ewas_slurm (on the cluster)
    • set the environment variables
    • make sure to set EWAS_PORT to the port you chose above
    • set the resource requirements (memory, wall time, etc)
  4. submit the run script to the queue sbatch run_ewas_slurm (on the cluster)
  5. check the status of the Slurm job squeue -u $USER (on the cluster)
  6. once the job is running, on your local machine connect to http://localhost:10083/

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EWAS Data Analysis


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