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Thomas Girke
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.Rprofile

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cat("Set up hugo variables\n")
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Sys.setenv(HUGO_ENV="production")
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options(blogdown.method = 'markdown')
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options(blogdown.hugo.version = "0.87.0")
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# options(blogdown.hugo.version = "0.87.0")
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options(blogdown.hugo.version = "0.123.7")
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#options(blogdown.method = "markdown")
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if(interactive()){
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cat("Launching website with Hugo\n")

config.toml

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# Useful when translating.
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enableMissingTranslationPlaceholders = true
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disableKinds = ["taxonomy", "taxonomyTerm"]
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## old: disableKinds = ["taxonomy", "taxonomyTerm"]
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disableKinds = ["taxonomy", "RSS"]
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# Highlighting config
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pygmentsCodeFences = false
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[languages]
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[languages.en]
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title = "sysPipe"
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description = "systemPipe Workflow Environment"
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languageName ="English"
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time_format_default = "2006-01-02"
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time_format_blog = "2006-01-02"
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languageName = "English"
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# Keep standard Hugo settings (like title, weight, languageName) here.
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[languages.en.params]
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description = "systemPipe Workflow Environment"
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time_format_default = "2006-01-02"
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time_format_blog = "2006-01-02"
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## Weight used for sorting.
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## uncomment below for more than one language support
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#weight = 1

content/en/about/_index.md

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title: "About systemPipe Project"
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linkTitle: "About"
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type: docs
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exclude_search: true
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date: "Last update: 29 April, 2022"
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package: systemPipeR
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---
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{{% pageinfo %}}
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[systemPipeR{blk}](https://www.bioconductor.org/packages/release/bioc/vignettes/systemPipeR/inst/doc/systemPipeR.html) and [systemPipeShiny{blk}](https://systempipe.org/sps/) full documentation!
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{{% /pageinfo %}}
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systemPipe (SP) is a generic toolkit for designing and running reproducible data
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analysis workflows. The environment consists of three major modules implemented
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as R/Bioconductor packages.
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<img src="systemPipe_logo.png" width="50%" style="display: block; margin: auto;" />
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- _systemPipeR_ (SPR) provides core functionalities for defining workflows,
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interacting with command-line software, and executing both R and/or command-line
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software, as well as generating publication-quality analysis reports.
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- _systemPipeData_ (SPRdata) offers a collection of pre-configured workflow templates.
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- _systemPipeShiny_ (SPS) integrates a graphical user interface for managing
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workflows and visualizing results interactively.
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### Availability
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All the packages are freely available for all common operating systems from
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[Bioconductor{blk}](http://bioconductor.org/packages/systemPipeR).
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- _systemPipeR_: [Bioconductor{blk}](http://bioconductor.org/packages/systemPipeR) and [Github{blk}](https://github.com/tgirke/systemPipeR)
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- _systemPipeShiny_: [Bioconductor{blk}](http://bioconductor.org/packages/release/bioc/html/systemPipeShiny.html) and [Github{blk}](https://github.com/systemPipeR/systemPipeShiny)
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- _systemPipeWorkflow_: [Github{blk}](https://github.com/systemPipeR)
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## Acknowledgement
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This project is funded by NSF award [ABI-1661152{blk}](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1661152).
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content/en/about/bak_index.md

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---
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title: "About systemPipe Project"
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linkTitle: "About"
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type: docs
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exclude_search: true
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date: "Last update: 29 April, 2022"
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package: systemPipeR
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---
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{{% pageinfo %}}
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[systemPipeR{blk}](https://www.bioconductor.org/packages/release/bioc/vignettes/systemPipeR/inst/doc/systemPipeR.html) and [systemPipeShiny{blk}](https://systempipe.org/sps/) full documentation!
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{{% /pageinfo %}}
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systemPipe (SP) is a generic toolkit for designing and running reproducible data
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analysis workflows. The environment consists of three major modules implemented
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as R/Bioconductor packages.
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<img src="systemPipe_logo.png" width="50%" style="display: block; margin: auto;" />
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- _systemPipeR_ (SPR) provides core functionalities for defining workflows,
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interacting with command-line software, and executing both R and/or command-line
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software, as well as generating publication-quality analysis reports.
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- _systemPipeData_ (SPRdata) offers a collection of pre-configured workflow templates.
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- _systemPipeShiny_ (SPS) integrates a graphical user interface for managing
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workflows and visualizing results interactively.
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### Availability
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All the packages are freely available for all common operating systems from
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[Bioconductor{blk}](http://bioconductor.org/packages/systemPipeR).
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- _systemPipeR_: [Bioconductor{blk}](http://bioconductor.org/packages/systemPipeR) and [Github{blk}](https://github.com/tgirke/systemPipeR)
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- _systemPipeShiny_: [Bioconductor{blk}](http://bioconductor.org/packages/release/bioc/html/systemPipeShiny.html) and [Github{blk}](https://github.com/systemPipeR/systemPipeShiny)
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- _systemPipeWorkflow_: [Github{blk}](https://github.com/systemPipeR)
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## Acknowledgement
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This project is funded by NSF award [ABI-1661152{blk}](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1661152).
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content/en/sp/spr/steps.md

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*`edgeR`*’s GML method (Robinson, McCarthy, and Smyth 2010) for any number of
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pairwise sample comparisons specified under the *`cmp`* argument. Users
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are strongly encouraged to consult the
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[*`edgeR`*](\href%7Bhttp://www.bioconductor.org/packages/devel/bioc/vignettes/edgeR/inst/doc/edgeRUsersGuide.pdf) vignette
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[*`edgeR`*](http://www.bioconductor.org/packages/devel/bioc/vignettes/edgeR/inst/doc/edgeRUsersGuide.pdf) vignette
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for more detailed information on this topic and how to properly run *`edgeR`*
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on data sets with more complex experimental designs.
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content/en/sp/spr/steps_oldVersion.md

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*`edgeR`*’s GML method (Robinson, McCarthy, and Smyth 2010) for any number of
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pairwise sample comparisons specified under the *`cmp`* argument. Users
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are strongly encouraged to consult the
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[*`edgeR`*](\href%7Bhttp://www.bioconductor.org/packages/devel/bioc/vignettes/edgeR/inst/doc/edgeRUsersGuide.pdf) vignette
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for more detailed information on this topic and how to properly run *`edgeR`*
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[edgeR](http://www.bioconductor.org/packages/devel/bioc/vignettes/edgeR/inst/doc/edgeRUsersGuide.pdf)
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vignette for more detailed information on this topic and how to properly run *`edgeR`*
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on data sets with more complex experimental designs.
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``` r

mybuild.sh

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###################################################################
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## Thomas added on 01-Dec-2025
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## New git clone instance
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git clone git@github.com:systemPipeR/systemPipeR.github.io.git
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git submodule update --init --recursive
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## if there is an error blogdown loading site pay attetion to version .Rprofile
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# options(blogdown.hugo.version = "0.87.0")
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options(blogdown.hugo.version = "0.123.7")
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## One necessary fix (one time setup change) was to ignore jekyll in build, which gave errors
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## under github actions. Adding a .nojekyll file fixed this.
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git checkout main # just in case
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## Deploy site from local
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git checkout main # just in case
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hugo --verbose --cleanDestinationDir # build site. This creates rendered html files under `public/`
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#-> in new version use instead of --verbose: logLevel info
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cp .nojekyll public
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git add . # needs to be done to account for changes in `public/`
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git commit -am "no_render" # tell github action not to render.
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git push origin main
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git push origin `git subtree split --prefix public`:gh-pages --force # use only to resolve possible error in push
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# git subtree push --prefix public origin gh-pages # alternative not used
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# 1. Build the site
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hugo --cleanDestinationDir
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# 2. Safety copy of .nojekyll (just in case)
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cp .nojekyll public/
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# 3. Stage and Commit
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git add .
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git commit -m "Fix config warnings and update site"
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# 4. Push Source to Main
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git push origin main
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# 5. Force Push to gh-pages (Your standard deployment command)
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git push origin `git subtree split --prefix public`:gh-pages --force
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