In the sea of life sciences tools, how do you maximize their capabilities and manage challenges to achieve Findable, Accessible, Interoperable, Reusable, and Reproducible results? What is the mix of tools that best serve those who produce data and results and those who use it and build upon them?
Everyone comes with a different set of skills and knowledge; discover the best combination for your computational and laboratory settings.
Join us for a webinar exploring:
- Critical components of life science workflows responsible for reproducibility and adherence to FAIRR analytics (i.e. code,data,environment)
- Current tools available for achieving reproducible and repeatable results
- Common challenges seen in the use of these tools, and how to adopt best practices to overcome them
- Building a personalized stack of computational tools to maximize FAIRR results in your workflow
