Introduction to Nextflow for Reproducible Scientific Workflows

This course provides an introduction to Groovy and NextFlow programming languages for the development of automated and reproducible.

Roadmap of the course:

• Chapter 1. Introduction to Groovy
• Chapter 2. Basic Nextflow syntax.
• Chapter 3. Hello world with Nextflow
• Chapter 4. Channels and operators
• Chapter 5. General workflow.
• Chapter 6. Containers and modularization
• Chapter 7. Nextflow config and nf-core

This course is open to Research Degree Students, Postdocs & Research Fellows. Limited spaces available for wider Imperial community.

Learning Outcomes:

On completion of this workshop you will be able to:

• Define the basic Groovy syntax such as maps, parameter, closures, collections
• Use a basic NexfFlow elements such as channels, processes, workflows
• Apply basic NexftFow elements to build reproducible pipelines
• Create modular workflows enabling flexible and modular pipelines
• Implement containerization through NextFlow config

Prerequisites

No prior experience on programming, statistics or data analysis is required.

How to book

• Early Career Researchers (Research Degree Students, Postdocs, Research Fellows) should book via Inkpath using your Imperial Single-Sign-On.
• Wider College Community - All other members of the Imperial community, should book here.

Please ensure you have read and understood ECRI’s cancellation policy before booking.