This tutorial provides participants with the essential skills necessary to design and implement High-Performance Computing (HPC) compliant data analysis workflows using the Snakemake workflow management system. Through hands-on exercises and practical demonstrations, attendees will learn how to harness the power of this workflow manager to utilize HPC resources effectively and ensure reproducibility in their data analysis workflows. The Snakemake workflow system is widely used in bioinformatics, experimental physics and other data analysis fields.

Prerequisites:
-Ability in navigating the shell (bash) for basic file manipulation and command execution.
-Ability to log in to remote servers via SSH (Secure Shell) for remote access
Beneficial:
-Familiarity with fundamental concepts of HPC, including job scheduling, parallel computing, and resource allocation.
-Basic knowledge of Python scripting language, including variables, data structures, control flow statements, and functions.