Connect with the KBase community
Join one of our community groups, attend a training event, sign up for our newsletter, and follow us on social media.
Previous
events
‘From conceptualization to publication: Modularizing student microbiome research for access and open-science’ at the American Society for Microbiology Conference for Undergraduate Educators
This workshop will introduce the Department of Energy Systems Biology Knowledgebase (kbase.us) and showcase popular protocols for multi-omics analysis on the platform. Attendees will learn how to import data and…
Before the academic year begins, join KBase Educators for an orientation to the Educators Community and teaching resources! We will go over how Narratives and teaching resources are laid out…
KBase heads to Washington D.C. for the Department of Energy Biological and Environmental Research program Genomic Science Program Annual PI Meeting! Connect with the team and collaborators at talks, posters,…
Learn the basics of KBase and best practices for your research. This webinar introduces the fundamentals of the KBase platform, including data upload, using the Narrative interface, running apps, and…
Help us improve the KBase experience
We’re continually working to make KBase a more robust and powerful tool for the Systems Biology community. If you’re interested in helping improve the platform, sign up to test new KBase Apps and features before they are released.
KBase Educators
Teaching with KBase? Join the KBase Educators Community to learn how the Narrative can be adapted to your curriculum.
KBase Organizations
Groups in KBase (known as Organizations) allow colleagues to share Narratives and data between users working on a single project or across whole institutions. Members of an organization can see each other’s Narratives and be notified when members of an organization add data or analyses to the system. This allows you to manage, track, and maintain your project’s resources on KBase.
Learn from world-class researchers how to use microbial metagenomic and environmental metabolite data from diverse watersheds.
