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An Ontology-Based Approach to Linking Model Organisms and Resources to Human Diseases

Author(s): Mungall, Christopher J; Anderson, David; Bandrowski, Anita; Canada, Brian; Chatyr-Aryamontri, Andrew; et al

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dc.contributor.authorMungall, Christopher J-
dc.contributor.authorAnderson, David-
dc.contributor.authorBandrowski, Anita-
dc.contributor.authorCanada, Brian-
dc.contributor.authorChatyr-Aryamontri, Andrew-
dc.contributor.authorCheng, Keith-
dc.contributor.authorConn, P Michael-
dc.contributor.authorDolinski, Kara-
dc.contributor.authorEllisman, Mark-
dc.contributor.authorEppig, Janan-
dc.contributor.authorGrethe, Jeffrey S-
dc.contributor.authorKemnitz, Joseph-
dc.contributor.authorIadonato, Shawn-
dc.contributor.authorLarson, Stephen D-
dc.contributor.authorMagness, Charles-
dc.contributor.authorMartone, Maryann E-
dc.contributor.authorTyers, Mike-
dc.contributor.authorTorniai, Carlo-
dc.contributor.authorTroyanskaya, Olga-
dc.contributor.authorTurner, Judith-
dc.contributor.authorWesterfield, Monte-
dc.contributor.authorHaendel, Melissa A-
dc.date.accessioned2021-10-08T19:47:40Z-
dc.date.available2021-10-08T19:47:40Z-
dc.date.issued2011en_US
dc.identifier.citationMungall, Chris, David Anderson, Anita E. Bandrowski, Brian A. Canada, Andrew Chatr-aryamontri, Keith C. Cheng, P. Michael Conn, Kara Dolinski, Mark Ellisman, Janan Eppig, Jeffrey S. Grethe, Joseph Kemnitz, Shawn Iadonato, Stephen D. Larson, Charles Magness, Marvann E. Martone, Mike Tyers, Carlo Torniai, Olga Troyanskaya, Judith Turner, Monte Westerfield, and Melissa A. Haendel. "An Ontology-Based Approach to Linking Model Organisms and Resources to Human Diseases." In International Conference on Biomedical Ontology (2011): 263-265.en_US
dc.identifier.urihttp://ceur-ws.org/Vol-833/paper43.pdf-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1h531-
dc.description.abstractThe scientific community has invested heavily in the creation of genetically modified organisms, other model systems, and large genetic screens because they greatly inform our understanding of human disease. However, it remains difficult to identify organisms suitable for one's research because information about them is not readily accessible. The initiative to Link Animal Models to Human Disease (LAMHDI; http://lamhdi.org) was developed to allow users to search for a diverse set of models of disease using both curated disease-model links and inferred paths based on gene orthology and pathway membership. These inferences are made by traversing connections between records in publicly available data from resources such as the Online Mendelian Inheritance in Man (OMIM). Medical Subject Headings (MeSH), EntrezGene. Homologene. and WikiPathways. This allows researchers to rapidly explore and identify a wide range of model systems, visualizing the multi-step genetic relationship between disease and model. However, if LAMHDI were able to semantically link an organism's phenotypic attributes to diseases, genes, expression profiles, etc. their relevance and utility to a given line of research would be much more greatly illuminated and new novel insights between disease, genetics and phenotype discovered.en_US
dc.format.extent263 - 265en_US
dc.language.isoen_USen_US
dc.relation.ispartofInternational Conference on Biomedical Ontologyen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleAn Ontology-Based Approach to Linking Model Organisms and Resources to Human Diseasesen_US
dc.typeConference Articleen_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/conference-proceedingen_US

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