Skip to content

Commit

Permalink
Update README.md
Browse files Browse the repository at this point in the history
  • Loading branch information
sreichl authored Sep 25, 2024
1 parent 9c4c51f commit bed4b90
Showing 1 changed file with 5 additions and 1 deletion.
6 changes: 5 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,13 +3,17 @@
Get 80% of all standard (biomedical) data science analyses done semi-automated with 20% of the effort, by leveraging [Snakemake's](https://snakemake.github.io/) module functionality to use and combine pre-existing workflows into arbitrarily complex analyses.

> [!IMPORTANT]
> If you use **MR.PARETO**, please don't forget to give credit to the authors by citing this original repository and the respective **Modules** and **Recipes**.
# ⏳ TL;DR - More Time for Science!
> _"Programming is about trying to make the future less painful. It’s about making things easier for our teammates."_ from _The Pragmatic Programmer_ by Andy Hunt & Dave Thomas
- **Why**: Time is the most precious resource. By taking care of efficiency (i.e., maximum output with limited resources) scientists can re-distribute their time to focus on effectiveness (i.e., the biggest impact possible).
- **How**: Leverage the latest developments in workflow management to (re-)use and combine independent computational modules into arbitrarily complex analyses in combination with modern innovation methods (e.g., fast prototyping, design thinking, and agile concepts).
- **What**: Independent computational **Modules** implemented as Snakemake workflows, encoding best practices and standard approaches, are used to scale, automate, and parallelize analyses. Snakemake's module functionality enables arbitrarily complex combinations of pre-existing modules for any **Project**. **Recipes** combine modules into the most conceivable standard analyses, thereby accelerating projects to the point of the unknown.

Altogether this enables complex, portable, transparent, reproducible, and documented analyses of biomedical data at scale.
> [!NOTE]
> Altogether this enables complex, portable, transparent, reproducible, and documented analyses of biomedical data at scale.
# 🧩 Modules
> _"Is it functional, multifunctional, durable, well-fitted, simple, easy to maintain, and thoroughly tested? Does it provide added value, and doesn't cause unnecessary harm? Can it be simpler? Is it an innovation?"_ - Patagonia Design Principles
Expand Down

0 comments on commit bed4b90

Please sign in to comment.