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VIVA.ipynb #65

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Jul 23, 2019
Merged

VIVA.ipynb #65

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6174fe6
fix(bigFixAndDocsChangeToFixFilterFunctionCallInJupyter_Main()AndToDi…
gtollefson Jul 22, 2019
69667c6
fix(fixedBugInJupyter_Main()AndFixedDocs):
gtollefson Jul 22, 2019
5ec29b0
Merge branch 'master' into develop
fernandogelin Jul 22, 2019
cce03dd
refactor(updateVersionNumber):
gtollefson Jul 22, 2019
6aaf6b9
refactor(updateVersionNumber):
gtollefson Jul 22, 2019
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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -54,7 +54,7 @@ Expected Time for Installation: Installation time depends on your network bandwi

### Running VIVA with Docker or Docker Compose

Alternatively, you can run VIVA using the Docker images we've provided if you don't want to install Julia and the VariantVisualization.jl Julia package.
Alternatively, you can run VIVA using the Docker images we've provided if you don't want to install Julia and the VariantVisualization.jl Julia package. You may only save images to HTML format using the Docker, for now, due to technical limitations of dependency packages. We've actively developing a feature to save to all formats using Docker.

To run VIVA from a Docker image, first [install Docker](https://docs.docker.com/install/).

Expand All @@ -78,6 +78,8 @@ cd project_x

Make sure to add your project VCF files to that folder. That directory will be mapped to `/notebook/data` inside of the container.

When entering the filename of the VCF file and files to support filtering options, you should include `/data/...` in the path to your files.

##### Run the VIVA Command Line Tool from a Docker image:

*Note*: Remember, you must use the flag `--save_remotely` when running VIVA by using Docker.
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