Join our Viash and VDSL3 courses to experience the full benefits of Nextflow workflows in computational biology!
With Nextflow’s outstanding portability, reproducibility, and scalability, it’s no wonder it’s one of the most popular workflow managers in the field. But developing a Nextflow pipeline can be challenging with a high barrier to entry and labor-intensive code.
That’s where Viash comes in! With Viash, you can wrap your code into state-of-the-art Nextflow scripts called VDSL3 modules, solving these drawbacks. Viash also offers reusability, test-driven development, separation of concerns, and continuous testing, all in one package.
Sign up now and start creating your Nextflow workflows with ease!
This course provides a high-level overview of Viash and its possibilities, aimed at non-technical middle management. You will learn about the benefits of using Viash in your organization to streamline data science workflows, create overview on knowledge, and reduce operational costs.
Through hands-on exercises and real-world examples, you will gain practical experience in running Viash-built data pipelines with Nextflow. You will learn how to monitor and troubleshoot workflows, manage inputs and outputs, and optimize performance and scalability.
In this course, you will learn the fundamentals of Viash & Nextflow (VDSL3) and how to leverage its features to streamline your data science workflows. You will learn how to create, run, and share workflows, as well as how to integrate Viash with other tools and platforms.
Building on your existing knowledge of Viash, you will explore advanced features of Viash, such as parameterization, templating, and workflow composition. You will also learn how to integrate Viash with Nextflow, a popular workflow management system for scientific computing.
Alternatively, you can inquire with us about a specific date for the course for your group.
Date | Course | Location | Status |
---|---|---|---|
Feb 8 & 15 2023 - 9:00 - 16:30 UTC | Introduction & Running | On-line | Full |
Feb 8 & 15 2023 - 9:00 - 16:30 UTC | Fundamentals | On-line | Full |
Feb 8 & 15 2023 - 9:00 AM - 4:30 PM EST | Advanced | On-line | Full |