Overview

Reproducing a data analysis is a major challenge in the scientific community. In response to this issue, workflow languages, including the Workflow Description Language (WDL), have become a popular solution to reproduce both a compute environment and the analysis steps. The WDL structure defines each analysis task, how they work together, and how to scale the steps for large datasets. Workflows can be run in different environments, both high-performance computing clusters and cloud platforms. This seminar will give an overview of why you should consider using WDL for your data analysis and how to get started.

Type of training

Virtual Webinar

Date

Intended Audience

For individuals interested in learning about workflows on WDL

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