adding GenoVi version 0.4.3

[erinyoung]

I find GenoVi really useful in quickly drawing cool figures of completed circular genomes.

GenoVi is really easy to use, but has circos as a dependency and isn't directly on conda (so it can be tricky to install).

The images it creates look like this:

Pull Request (PR) checklist:

• Include a description of what is in this pull request in this message.
• The dockerfile successfully builds to a test target for the user creating the PR. (i.e. docker build --tag samtools:1.15test --target test docker-builds/samtools/1.15 )
• Directory structure as name of the tool in lower case with special characters removed with a subdirectory of the version number (i.e. spades/3.12.0/Dockerfile)
  • (optional) All test files are located in same directory as the Dockerfile (i.e. shigatyper/2.0.1/test.sh)
• Create a simple container-specific README.md in the same directory as the Dockerfile (i.e. spades/3.12.0/README.md)
  • If this README is longer than 30 lines, there is an explanation as to why more detail was needed
• Dockerfile includes the recommended LABELS
• Main README.md has been updated to include the tool and/or version of the dockerfile(s) in this PR
• Program_Licenses.md contains the tool(s) used in this PR and has been updated for any missing

[erinyoung]

Closes #650

[Kincekara]

@erinyoung did you check the size of the image? pip installs nvidia-cuda libraries. I mean this image will be huge. I believe it happens because of the tensorboard requirement of deepnog. I am curious what happens if we try to remove cuda.

[erinyoung]

deepnog is definitely required, and it lists tensorboard as a dependency.

Have you used deepnog without tensorboard?

I'm expecting the built image to be ~4.54GB in size.

[Kincekara]

No, I was just curious. I am merging this.

[Kincekara]

Thank you for your PR!
You can follow its deployment progress from here: https://github.com/StaPH-B/docker-builds/actions/runs/6880864829

[erinyoung]

Thank you!