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@@ -23,17 +23,11 @@ Note: Once you have set up VIVA, you can quickly run the command line tool [EXAM
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### Supported Operating Systems:
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#### macOS
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macOS ( Sierra, High Sierra, and Mojave ), Windows, and Linux.
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Sierra, High Sierra, and Mojave.
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Expected Time for Installation: Installation time depends on your network bandwidth, but should take less than 10 minutes for VIVA installation to install all dependency packages. Installing and using Julia packages for the first time takes longer than when using them in subsequent sessions.
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#### Windows
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Windows 10, Windows 7
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#### Linux
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*Note*: When installing VariantVisualization.jl and running VIVA on Linux systems on remote compute clusters, you may need to load the OpenGl module in addition to loading the Julia module.
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*Note*: When installing VariantVisualization.jl and running VIVA remote compute clusters, you may need to load the OpenGl module in addition to loading the Julia module.
Copy file name to clipboardExpand all lines: docs/src/examples.md
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# Examples
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To run examples, download the five test files found [here](https://github.com/compbiocore/VariantVisualization.jl/tree/master/test/test_files) and put them into a working directory with the VIVA script.
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To run examples:
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Once Julia and VariantVisualization.jl are installed, you can run the following examples and should see the same outputs.
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1. Install Julia and the VariantVisualization.jl package
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2. Download the five test files found [here](https://github.com/compbiocore/VariantVisualization.jl/tree/master/test/test_files) and put them into a working directory with the VIVA script.
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3. Open the command line (Terminal or Powershell), copy the provided commands into the command line prompt, and press enter.
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4. Your first VIVA run will take longer than usual (several minutes) because of the way Julia compiles packages. All subsequent runs will be much faster. Each example should take 30-50 seconds to run and you should see the same outputs as those below each demo.
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We encourage you to also run these examples without the flag `-s png` to save and view interactive HTML graphics with cursor hovertext, zooming, panning, and screen capture features. View HTML graphics in your browser by opening the HTML file.
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## Default Options
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```
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julia VIVA -f test_4X_191.vcf -t Default_Options -s png
Generate heatmaps of genotype and read depth values of variants selected within a genomic range, in this case, chromosome 4, nucleotides 200000-500000, with y-axis variant position labels.
println("Can not select samples with phenotype matrix provided. Please include same sample ids in phenotype matrix as in list of sample names to select.")
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println("Selecting samples listed in $(parsed_args["select_samples"])")
println("Can not select samples with phenotype matrix provided. Please include same sample ids in phenotype matrix as in list of sample names to select.")
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end
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println("Selecting samples listed in $(parsed_args["select_samples"])")
println("Can not select samples with phenotype matrix provided. Please include same sample ids in phenotype matrix as in list of sample names to select.")
println("Can not select samples with phenotype matrix provided. Please include same sample ids in phenotype matrix as in list of sample names to select.")
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