The practical sessions of the tutorial will be carried out using a Docker image. Therefore, in case Docker is not installed in your computer, please follow the following steps.
Docker allows the execution of a container with pre-installed tools and pre-loaded datasets. Thus, it removes the hurdle of installing dependencies and makes it easier to reproduce full analyses by different researchers.
Docker is available as a desktop application for Mac and Windows, you can find the installers here:
A detailed installation guide can be found here:
If you are using a Linux system the Docker engine can also be installed by following this guide:
Install Docker: create an account on dockerhub and install docker. After installing go to Docker preferences and increase the
The Docker Settings in Windows and the Docker Preferences in Mac menu allows you to configure the Docker settings. In our case the matrix decomposition steps will be faster if the container has more CPUs and Memory at its disposal.
We recommend to increase the resoures to at least 2 CPUs and 5.00GB of memory if your system allows it, and at least 10.GB for the Disk image size.