This lesson is an introduction to the workflow manager Nextflow, and nf-core, a community effort to collect a curated set of analysis pipelines built using Nextflow.
Nextflow enables scalable and reproducible scientific workflows using software containers such as Docker and Singularity. It allows the adaptation of pipelines written in the most common scripting languages such as R and Python. Nextflow is a Domain Specific Language (DSL) that simplifies the implementation and the deployment of complex parallel and reactive workflows on clouds and clusters.
This lesson also introduces nf-core: a framework that provides a community-driven, peer reviewed platform for the development of best practice analysis pipelines written in Nextflow.
This lesson motivates the use of Nextflow and nf-core as a development tool for building and sharing computational pipelines that facilitate reproducible (data) science workflows.
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the [more detailed guidelines][lesson-example] on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of [issues][https://github.com/carpentries-incubator/workflows-nextflow/issues] for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git
by Scott Chacon.
Look for the tag 
Current maintainers of this lesson are
- Graeme R. Grimes
- Mahesh Binzer-Panchal
A list of contributors to the lesson can be found in AUTHORS
To cite this lesson, please consult with CITATION