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Snakemake is a powerful tool for keeping track of data dependencies and to automate data analysis pipelines. In this episode of Code Club, Pat Shares how to install snakemake, convert a driver script to a simple Snakemake file, troubleshoot problems, create rules, use parameters, and test snakemake files. The overall goal of this project is to highlight reproducible research practices using a number of tools. The specific output from this project will be a map-based visual that shows the level of drought across the globe. You can find my blog post for this episode at https://www.riffomonas.org/code_club/.... #snakemake #conda #bash #R #Rstats Support Riffomonas by becoming a Patreon member! / riffomonas Want more practice on the concepts covered in Code Club? You can sign up for my weekly newsletter at https://shop.riffomonas.org/youtube to get practice problems, tips, and insights. If you're interested in taking an upcoming 3 day R workshop be sure to check out our schedule at https://riffomonas.org/workshops/ You can also find complete tutorials for learning R with the tidyverse using... Microbial ecology data: https://www.riffomonas.org/minimalR/ General data: https://www.riffomonas.org/generalR/ 0:00 Introduction 3:30 Our first Snakemake rule 6:41 Installing snakemake with conda/mamba 9:33 Testing snakefile with --dry-run or -np 18:43 Creating and using a targets rule 21:13 Running snakefile 25:08 Visualizing the DAG 27:49 Cleaning up