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Proper Citation: KBase (RRID:SCR_022162)
Description: Data science platform for predicting and designing biological function. Platform to model plant and microbial physiology and community dynamics. Knowledge creation and discovery environment for biologists and bioinformaticians. Integrates variety of data and analysis tools from US Department of Energy and other public services into platform that leverages scalable computing infrastructure and performs systems biology analyses. Enables scientists to analyze their own data within context of public data and share findings across system.
Synonyms: DOE Systems Biology Knowledgebase, Department of Energy Systems Biology Knowledgebase, The Department of Energy Systems Biology Knowledgebase
Resource Type: data or information resource, portal
Defining Citation: DOI:10.1038/nbt.4163
Keywords: Energy Systems Biology Knowledgebase, systems biology analyses, model plant and microbial physiology, predicting and designing biological function, data science
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Source: SciCrunch Registry
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
