Container installation / singularity image

[sebgoti]

Given the large memory requirements that Baysor needs to process samples with millions of spots, I wonder if it would be possible to improve the stability of the docker container (which could be used in principle to build a singularity container for the HPC). What I mean by this? For example, the docker container can be ran in interactive mode with:

However, it does not work when trying to run a command directly on the image without going into the interactive mode:

This prevents Baysor to being used by other workflow programming languages such as Nextflow or Snakamake, which I think presents a huge disadvantage in terms of reproducibility and integration for scientific workflow management.

I also have the feeling that maybe this could help to create a stable Singularity image that could be used on the HPC.