Introduction to Snakemake (SNKM03)

https://prstats.org/course/introduction-to-snakemake-snkm03/

Delivered by experienced bioinformaticians and workflow automation specialists.

Learn how to build reproducible, scalable, and automated data analysis pipelines using Snakemake. Modern biological and ecological research often involves complex, multi-step analyses that can be difficult to reproduce and manage manually. This hands-on course introduces Snakemake, one of the most widely used workflow management systems in bioinformatics and computational science, helping you automate analyses and build robust research pipelines.

What you’ll gain - A strong understanding of workflow automation concepts Practical experience building pipelines using Snakemake Skills to manage complex multi-step analyses efficiently Understanding of reproducible and scalable computational workflows Confidence in automating research pipelines and data processing tasks

Course format - Live, instructor-led online training Hands-on coding with real-world datasets and workflows Interactive practical exercises throughout Strong focus on applied, research-ready workflows

Who is this course for? - Bioinformaticians and computational biologists Researchers working with large or complex datasets Python and command-line users wanting to automate workflows PhD students and quantitative researchers

Why take this course? - As datasets and analyses become increasingly complex, manually running scripts and managing files is no longer sustainable. Workflow management systems like Snakemake provide a powerful way to automate analyses, improve reproducibility, and scale research pipelines efficiently.

This course equips you with the skills to design, manage, and execute reproducible workflows, helping you save time, reduce errors, and build robust computational pipelines for modern scientific research.

Learn more & enrol PR Stats course page for Introduction to Snakemake (SNKM03)

Questions? Email: oliver@prstats.org