A collaborative, open environment for systems biology
of plants, microbes and their communities
In KBase, you can create shareable, reproducible workflows called Narratives that include data, analysis steps, results, visualizations and commentary.
Narrative tutorials demonstrate how to use KBase’s data and analysis tools:
Accurately predicting biosynthetic energy yields is a challenging problem. In work published in BMC Genomics, KBase scientists developed new analysis tools that allowed them to address this problem by building core metabolic models representing 48 major phylogenetic microbial groups.
In a cover article in the Journal of Cellular Physiology, KBase scientist Christopher Henry and collaborators demonstrate strategies for constructing genome-scale metabolic networks that simulate two species in a microbial consortium exchanging metabolites to sustain life.
Analyze a wide range of public bioinformatics data together with your own data.
Explore KBase’s analysis tools (Apps) in the App Catalog.
Transfer high-throughput sequencing data from the JGI Genome Portal to KBase for analysis.
KBase is an open platform — find out how to add your own analysis tools!
Janaka Edirisinghe, a KBase scientist at ANL, will present a talk entitled “Automated pathway curation and improving metabolic model reconstruction based on phylogenetic analysis of pathway conservation” at the 2017 International Conference on Systems Biology in Blacksburg, Virginia (http://www.cpe.vt.edu/icsb2017/) on August 10, 2017 at 10:50am. Edirisnghe and colleagues developed a gapfilling algorithm that improved the […]