Video, Computational Biology, Coding, Course materials
Hello Nextflow
The rise of big data has made it increasingly necessary to be able to analyze and perform experiments on large datasets in a portable and reproducible manner. Parallelization and distributed computing are the best ways to tackle this challenge, but the tools commonly available to computational scientists often lack good support for these techniques, or they provide a model that fits poorly with the needs of computational scientists. Nextflow was particularly created to address these challenges.
During this training, you will be introduced to Nextflow in a series of complementary hands-on workshops.
Licence: Creative Commons Attribution 4.0 International
Contact: Marcel Ribeiro-Dantas, PhD.
Keywords: Nextflow, pipeline development, workflow management
Target audience: Bioinformaticians, Data scientists
Resource type: Video, Computational Biology, Coding, Course materials
Version: 2.7
Status: Active
Prerequisites:
- A GitHub account OR a local installation as described here.
- Experience with command line and basic scripting
Learning objectives:
- Describe and utilize core Nextflow components sufficient to build a simple multi-step workflow
- Describe next-step concepts such as operators and channel factories
- Launch a Nextflow workflow locally
- Find and interpret outputs (results) and log files generated by Nextflow
- Troubleshoot basic issues
Date published: 2025-10-27
Scientific topics: Bioinformatics
Activity log
