Online tutorial

Workflows

Combining tools for data analysis

Time to complete:

1 hour


Written by:

Last reviewed:

January 2025


Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.


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Computational workflows allow for automation of multi-step analyses and support the reproducibility of analyses. This tutorial provides a short introduction to workflows for the analysis of life sciences data, providing examples of platforms for creating workflows and the considerations required for developing them.

Feedback and help

Who is this course for?

This tutorial is for anyone who would like to learn about the role of workflows in the analysis of life sciences data.

It was developed as part of the EOSC-Life project; EOSC-Life has received funding from the European Union’s Horizon 2020 programme under grant agreement number 824087.

EOSC-life logoEU logo

What will I achieve?

By the end of the course you will be able to:

  • Describe what workflows are
  • Recall an example of a platform for creating workflows
  • Explain the importance of sustainability of workflows
  • List some considerations for creating tools for workflows

What resources do I need?

There are no specific requirements to complete this course.

DOI: 10.6019/TOL.Workflows-t.2022.00001.1