KBase: The Department of Energy Systems Biology Knowledgebase

KBase is an open platform for comparative functional genomics and systems biology for microbes, plants and their communities, and for sharing results and methods with other scientists.


Beta-testing new public Help Board for KBase

KBase is rolling out a new, more interactive way for users (and prospective users) to report bugs, ask questions, or suggest new features, using an issue tracking system called JIRA. Using the new Help Board, you’ll be able to: – See the current status of your bug report or question – Engage in a two-way […]

KBase App Replacement Coming Soon

KBase recently introduced a Software Development Kit (SDK) that simplifies the process of integrating analysis tools as KBase apps and also unifies the release and update process, making it easier for developers to support and upgrade KBase functionality. This will result in the KBase platform evolving more rapidly to better serve the requirements of our […]

KBase demo at ACM-BCB

Robert Cottingham, Co-PI of KBase at Oak Ridge National Laboratory, will chair the Demo Presentations at this year’s ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB). He will present a KBase demo titled “Developing collaborative analyses of biological function using Narratives and the App Catalog” showcasing capabilities of interest to this audience, including […]

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Research Highlights

Applying KBase to predict interspecies interactions with validation from transcriptomic data

In a cover article in the Journal of Cellular Physiology, KBase scientist Christopher Henry and his collaborators demonstrate strategies for constructing genome-scale metabolic networks that simulate two species in a microbial consortium exchanging metabolites to sustain life.

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Using KBase to model central metabolism and energy biosynthesis across microbial life

In work published in BMC Genomics, KBase scientists developed new analysis tools that allowed them to more accurately predict biosynthetic energy yields by building core metabolic models representing 48 major phylogenetic microbial groups.

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