Challenges with Teamwork in Computational Research

In computational research groups, we're often seeing teams operating in silos. Different people have different skills, they come from different backgrounds, they use different tools and pipelines, and they may even code in different languages. Here are some of the key players:
- Bioinformatics teams handle data processing and pipeline
- Computational teams work with modeling, analysis, and machine learning
- Experimental teams perform interactive analysis and discovery
- IT handles applications and infrastructure

Effortless collaboration between these groups is difficult, and there is also a large ecosystem of languages, tools, packages, and applications to know and leverage, leading to a need for a platform that allows researchers to flexibly leverage any open source tool, package, environment available.