Advancing biology research
Narratives are interactive, dynamic, and persistent documents designed to make systems biology research transparent, collaborative, and reproducible. You can read, copy, and build on these Narratives, and then share your results with the research community. Below we highlight how scientists are using KBase in their research.
For a list of all tools in KBase, check out our App Catalog.
Research Narratives
These Narratives represent computational experiments or reproducible publications. They capture data and analysis, along with commentary on why each steps was performed and what the results show. You can copy any Narrative to create your own version where you can rerun analyses with your own data, or even change the analyses.
For some Narratives, you may need to sign into KBase to view them. If you do not have a KBase account, you can create a free account to access Narratives and more.
This Narrative contains the final MAGs that were published in FEMS Microbiology Ecology by Andrew R. St. James and Ruth E. Richardson from Cornell University.
Members of the Ethylene-Response Factor (ERF) gene family encode transcription factors that are involved in various important developmental and physiological processes in plants. In this Narrative, KBase tools are used to discover and characterize ERF
KBase annotation and metabolic modeling pipelines were used to analyze a 13-species electrosynthetic community that captures electrons from a cathode and fixes carbon dioxide. Metabolic models of the predominant
Publications using KBase
KBase collaborations
Collaborative projects represent formal partnerships that support the KBase mission and KBase user science. Collaborations fall into several themes forming KBase User Working Groups (UWGs). Example UWG members include several Dept. of Energy (DOE) Science Focus Areas (SFAs). SFAs are research projects funded by the DOE to further scientific advancement and support the DOE’s Office of Science mission.
UWG themes include: Microbiome, Metabolism, Functional Metabolism, and Data Science. Additional details are presented on the User Working Group page.
Developing detailed models of biological function within an environmental context enables researchers to explore prediction and design of ecosystem services that address challenges of climate change, land and water use, and other anthropogenic impacts.
Functional genomics collaborations investigate a range of multivariate genotype-phenotype relationships to study how genes or genomic regions are predictive of biological function in a particular environmental context.
Collaborations around metabolic networks explore how cells (free-living, host-associated, or multicellular) communicate with other cells, collaborate or compete for resources, and interact with their environment.
Microbes are diverse and pervasive, existing across space and time. Collaborations focused on understanding microbiome communities explore what microbes are where, and what they are doing there.
The KBase project paper
The KBase project paper details the unique features and infrastructure of the KBase platform, and illustrates how two scientists might use KBase to perform collaborative systems biology analysis, resulting in a reproducible, interactive Narrative for publication.
Looking for information on tools and resources?
Check out KBase Documentation for our Getting Started guide and information on tools in the App Catalog. KBase is a fully open source software project available on GitHub.
