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…ivaManualInMkdocs): readme and various docs edits hyperlinks and typos. also changed manual to viva manual in mkdocs

docs refinement
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gtollefson committed Mar 28, 2019
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15 changes: 13 additions & 2 deletions README.md
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1. Add VariantVisualization.jl in the Julia Pkg prompt.
2. Download the [VIVA](https://github.com/compbiocore/VariantVisualization.jl/tree/master/VIVA) tool script and save it to a working directory for your analysis.
3. Navigate to your working directory and follow the [VIVA manual](https://compbiocore.github.io/VIVA.jl/latest) to generate your plots.
3. Navigate to your working directory and follow the [VIVA manual](https://compbiocore.github.io/VariantVisualization.jl/latest/) to generate your plots.

### Jupyer Notebook
### Jupyter Notebook

1. [Install Jupyter](https://jupyter.org/install)
2. Download the [VIVA Jupyter Notebook](https://github.com/compbiocore/VariantVisualization.jl/tree/master/VIVA.ipynb).
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Pkg.clone("https://github.com/compbiocore/VariantVisualization.jl")
```

### *For Developers*

VIVA Jupyter notebook and the VIVA the command line tool are built with functions contained in our VariantVisualization.jl package.

Developers may contribute to these open source tools by using [functions contained within VariantVisualization.jl](https://github.com/compbiocore/VariantVisualization.jl/tree/master/src/) which are carefully documented with docstrings.

We have included in-line comments within the code for the [VIVA command line tool](https://github.com/compbiocore/VariantVisualization.jl/tree/master/viva).

The ***VIVA Jupyter notebook*** is powered by a [main function](https://github.com/compbiocore/VariantVisualization.jl/tree/master/src/new_notebook_utils.jl) which takes arguments defined by the user in the notebook. We welcome users to post in issues to request a new feature or bug fix.


## Contributing and Questions

Contributions are welcome, as are feature requests and suggestions. Please open an
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2 changes: 1 addition & 1 deletion docs/mkdocs.yml
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pages:
- Home: index.md
- Manual:
- VIVA Manual:
- Filtering Your VCF File: filtering_vcf.md
- Making Plots: plotting.md
- Examples: examples.md
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11 changes: 1 addition & 10 deletions docs/src/index.md
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## Description

VIVA is a user-friendly command line tool built with our VariantVisualization.jl package for exploratory analysis and generation of publication quality graphics for variant analysis project using Variant Call Format (VCF) files.
VIVA is a user-friendly command line tool built with our VariantVisualization.jl package for exploratory analysis and generation of publication quality graphics for variant analysis projects using Variant Call Format (VCF) files.

Variant selection and plotting is all executed in a single command.

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* [Plotting Options](https://github.com/compbiocore/VariantVisualization.jl/tree/master/docs/src/plotting.md)

### *For Developers*

VIVA Jupyter notebook and the VIVA the command line tool are built with functions contained in our VariantVisualization.jl package.

Developers may contribute to these open source tools by using [functions contained within VariantVisualization.jl](https://github.com/compbiocore/VariantVisualization.jl/tree/master/src/) which are carefully documented with docstrings.

We have included in-line comments within the code for the ***[VIVA command line tool]***(https://github.com/compbiocore/VariantVisualization.jl/tree/master/viva).

The ***VIVA Jupyter notebook*** is powered by a [main function](https://github.com/compbiocore/VariantVisualization.jl/tree/master/src/new_notebook_utils.jl) which takes arguments defined by the user in the notebook. We welcome users to post in issues to request a new feature or bug fix.
4 changes: 2 additions & 2 deletions docs/src/installation.md
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#Installation

##Install Julia v1.1
Follow the [instructions]("") for installing Julia v1.1 on your system.
##Install Julia v1.1.0
Download [Julia]("https://julialang.org/downloads/")

##Install the VariantVisualization.jl
Add `VariantVisualization.jl` at the package prompt in the Julia v1.1 REPL.
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