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@@ -18,16 +18,33 @@ Read more about our research here: [Treehouse Childhood Cancer Initiative](https
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In order for science to be valid, it has to be reproducible.
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Luckily, this can be easier for computational biology experiments than in wet lab experiments.
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Before you can work on a Treehouse computational project, you must demonstrate that you know how to perform reproducible experiments.
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When you have completed the work described in this repo, please reach out to your mentor so you can proceed with your project.
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This training introduces you to a framework for making sure your future research is reproducible.
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Throughout this training we will be working on the following:
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- Using GitHub, RStudio, renv, and Quarto notebooks
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- Building repositories, files, and pipelines
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- Getting a hang of research computing workflows
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- Learning computational research skills in R including: data visualization, data transformation, and program iteration
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- Learning computational research skills in R including: data visualization, data transformation, and program iteration.
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## Requirements for Treehouse computational researchers (at all levels)
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Before you can work on a Treehouse computational project, you must demonstrate that you know how to perform reproducible experiments.
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When you have completed this work described in this repo, your mentor will confirm that you have done the following, and you can proceed with research.
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- [ ] Created a repository under the GitHub UCSC-Treehouse organization level
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- [ ] Created a quarto notebook, branch and pull request for every chapter
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- [ ] Run all the code examples, each in a separate chunk in the chapter's quarto notebook
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- [ ] Done all the exercises, documenting your work and writing out your answers to questions like "How is this plot different?" in the chapter's quarto notebook
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## Notes for non-Treehouse folks
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If you are not a Treehouse computational researcher, there will be two differences:
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1) You will store your repository in your own GitHub account, and
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2) You can review your own pull requests or request review from someone you know with relevant knowledge.
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