TY - JOUR
T1 - KTAO
T2 - 9th International Conference on Biological Ontology, ICBO 2018
AU - He, Yongqun
AU - Steck, Becky
AU - Ong, Edison
AU - Mariani, Laura
AU - Lienczewski, Chrysta
AU - Balis, Ulysses
AU - Kretzler, Matthias
AU - Himmelfarb, Jonathan
AU - Bertram, John F.
AU - Azeloglu, Evren
AU - Iyengar, Ravi
AU - Hoshizaki, Deborah
AU - Mooney, Sean D.
N1 - Funding Information:
ACKNOWLEDGMENT This KPMP project is supported by the NIH National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) U2C Project #: 1U2CDK114886-01.
Funding Information:
This KPMP project is supported by the NIH National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) U2C Project #: 1U2CDK114886-01.
Publisher Copyright:
© 2018 CEUR-WS.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - AKI
KW - Atlas
KW - CKD
KW - Disease
KW - Gene marker
KW - KTAO
KW - Kidney
KW - Ontology
UR - http://www.scopus.com/inward/record.url?scp=85059869285&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85059869285
SN - 1613-0073
VL - 2285
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 7 August 2018 through 10 August 2018
ER -