KTAO:A kidney tissue atlas ontology to support community-based kidney knowledge base development and data integration
Year: 2018
Type: article
Abstract: The human kidney has a complex structure and diverse interactions among its cells and cell components, both during homeostasis and in its diseased states. To better understand the kidney, it is critical to systematically classify, represent, and integrate kidney gene activities, cell types, cell states, and interstitial components. Toward this goal, we developed a Kidney Tissue Atlas Ontology (KTAO). KTAO reuses and aligns with existing ontologies such as the Cell Ontology, UBERON, and Human Phenotype Ontology. KTAO also generates new semantic axioms to logically link terms of entities in different domains. As a first study, KTAO represents over 200 known kidney gene markers and their profiles in different cell types in kidney patients. Such a representation supports kidney knowledge base generation, query, and data integration.
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2907554417
