Computational biology experiments can be quick to spin up, but this velocity often comes at the cost of reproducibility and/or scalability. Nextflow is a language that makes it easy to design flexible, versioned, and reproducible workflows that can run on your laptop, on a HPC cluster and in the cloud (AWS/Azure/GCP). This tutorial is an introduction to the Nextflow language, where we design and write an example bioinformatics workflow to process local data and then use cloud resources to scale up the experiment, all the while maintaining strict versioning and data provenance. Finally, using the Seqera Platform, we can create endpoints for our workflow to enable automatic analysis of new data.
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