When
Where
Webinar Materials
Videorecording
Conner's Slides (coming soon)
About this webinar
Computational analysis pipelines are a key element of modern science but can be difficult to maintain or export to other systems, undermining the reproducibility of their results. Workflow management software simplifies computational analysis by supporting a variety of systems ranging from desktops to HPC clusters and offering easy access to features like task parallelization, Docker/Singularity container execution, analysis checkpointing, and automatic job submission to schedulers such as Moab or SLURM. Join us for a basic overview of Nextflow [https://www.nextflow.io/], a free and open source workflow management software. Presenter Conner Copeland, of the University of Montana, will cover the key components of a Nextflow DSL2 script: processes, channels, and workflows. Conner will demonstrate beginner-friendly example code, and best of all, offer some valuable, hard-won tips to help those just getting started with Nextflow to avoid making some difficult-to-diagnose errors.
What you'll learn
- What Nexflow is and does as a computational workflow management tool
- Nextflow's key components for managing tasks, container execution, checkpointing and job scheduling
- Tips on how to get started and avoid some typical 'beginner' pitfalls
About the presenter
Conner Copeland is a Master's student and research assistant in the Wheeler Lab North at the University of Montana. His research interests are bioinformatics, viral genomics, and machine learning. Conner is currently developing an automated prophage annotation and visualization pipeline that aims to simplify searching for viral integrations in bacterial genomes.