Online tutorial
Workflows
Combining tools for data analysis
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.
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.

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
Course contents
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