TY - GEN
T1 - Integrating phenotype ontologies with PhenomeNET
AU - García, Miguel Angel Rodríguez
AU - Gkoutos, Georgios V.
AU - Schofield, Paul N.
AU - Hoehndorf, Robert
PY - 2016/12/22
Y1 - 2016/12/22
N2 - PhenomeNET is a system for disease gene prioritization that includes as one of its components an ontology designed to integrate phenotype ontologies. While not applicable to matching arbitrary ontologies, PhenomeNET can be used to identify related phenotypes in different species, including human, mouse, zebrafish, nematode worm, fruit fly, and yeast. Here, we apply the PhenomeNET to identify related classes from four phenotype and disease ontologies using automated reasoning. We demonstrate that we can identify a large number of mappings, some of which require automated reasoning and cannot easily be identified through lexical approaches alone.
AB - PhenomeNET is a system for disease gene prioritization that includes as one of its components an ontology designed to integrate phenotype ontologies. While not applicable to matching arbitrary ontologies, PhenomeNET can be used to identify related phenotypes in different species, including human, mouse, zebrafish, nematode worm, fruit fly, and yeast. Here, we apply the PhenomeNET to identify related classes from four phenotype and disease ontologies using automated reasoning. We demonstrate that we can identify a large number of mappings, some of which require automated reasoning and cannot easily be identified through lexical approaches alone.
KW - PhenomeNET
KW - Phenotype ontology
UR - http://www.scopus.com/inward/record.url?scp=85009450649&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85009450649
VL - 1766
T3 - CEUR Workshop Proceedings
SP - 201
EP - 209
BT - OM 2016 - Ontology Matching
PB - CEUR
T2 - The Eleventh International Workshop on Ontology Matching
Y2 - 18 October 2016 through 18 October 2016
ER -