
This hands-on training is designed to help you build scalable, reproducible data analysis pipelines using Nextflow. As data volumes grow and analyses become more complex, mastering workflow management tools is essential for ensuring reproducibility and efficiency. In this course, you'll learn how to develop and run pipelines on your local machine, HPC clusters, and cloud platforms. Starting from the basics, we'll guide you through building a simple pipeline and progressively enhance it using Nextflow's modern DSL2 syntax. By the end, you'll be equipped with practical skills to streamline your own analyses and collaborate more effectively across computational environments
Nextflow, Automated data analysis, Workflow
Nextflow, Automated data analysis, Workflow
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
