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title: "Home"
site: workflowr::wflow_site
toc: false
chunk_output_type: console
My aim for the workshop is to introduce computational tools and demonstrate how they can be used to help promote reproducibility when performing bioinformatic analyses. Many of these tools, especially `workflowr` help adhere to these [Ten Simple Rules for Reproducible Computational Research](
* Rule 1: For Every Result, Keep Track of How It Was Produced
* Rule 2: Avoid Manual Data Manipulation Steps
* Rule 3: Archive the Exact Version Versions of All External Programs Used
* Rule 4: Version Control All Custom Scripts
* Rule 5: Record All Intermediate Results, When Possible in Standardised Formats
* Rule 6: For Analyses That Include Randomness, Note Underlying Random Seeds
* Rule 7: Always Store Raw Data behind Plots
* Rule 8: Generate Hierarchical Analysis Output, Allowing Layers of Increasing Detail to Be Inspected
* Rule 9: Connect Textual Statements to Underlying Results
* Rule 10: Provide Public Access to Scripts, Runs, and Results
Links to workshop material.
* [Introduction to Docker](docker.html)
* [Introduction to Conda](conda.html)
* [Introduction to workflowr](