The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species

dc.contributor.authorMungall, Chris
dc.contributor.authorMcMurry, Julie A.
dc.contributor.authorKöhler, Sebastian
dc.contributor.authorBalhoff, James P.
dc.contributor.authorBorromeo, Charles
dc.contributor.authorBrush, Matthew
dc.contributor.authorCarbon, Seth
dc.contributor.authorConlin, Tom
dc.contributor.authorDunn, Nathan
dc.contributor.authorEngelstad, Mark
dc.contributor.authorFoster, Erin D.
dc.contributor.authorGourdine, J.P.
dc.contributor.authorJacobsen, Julius O.B.
dc.contributor.authorKeith, Dan
dc.contributor.authorLaraway, Bryan
dc.contributor.authorLewis, Suzanna E.
dc.contributor.authorXuan, Jeremy N.
dc.contributor.authorShefchek, Kent
dc.contributor.authorVasilevsky, Nicole
dc.contributor.authorYuan, Zhou
dc.contributor.authorWashington, Nicole
dc.contributor.authorHochheiser, Harry
dc.contributor.authorGroza, Tudor
dc.contributor.authorSmedley, Damian
dc.contributor.authorRobinson, Peter N.
dc.contributor.authorHaendel, Melissa A.
dc.date.accessioned2019-10-16T15:31:45Z
dc.date.available2019-10-16T15:31:45Z
dc.date.issued2016-11-26
dc.description.abstractThe correlation of phenotypic outcomes with genetic variation and environmental factors is a core pursuit in biology and biomedicine. Numerous challenges impede our progress: patient phenotypes may not match known diseases, candidate variants may be in genes that have not been characterized, model organisms may not recapitulate human or veterinary diseases, filling evolutionary gaps is difficult, and many resources must be queried to find potentially significant genotype–phenotype associations. Non-human organisms have proven instrumental in revealing biological mechanisms. Advanced informatics tools can identify phenotypically relevant disease models in research and diagnostic contexts. Large-scale integration of model organism and clinical research data can provide a breadth of knowledge not available from individual sources and can provide contextualization of data back to these sources. The Monarch Initiative (monarchinitiative.org) is a collaborative, open science effort that aims to semantically integrate genotype–phenotype data from many species and sources in order to support precision medicine, disease modeling, and mechanistic exploration. Our integrated knowledge graph, analytic tools, and web services enable diverse users to explore relationships between phenotypes and genotypes across species.en_US
dc.identifier.citationMungall, C., McMurry, J. A., Köhler, S., Balhoff, J. P., Borromeo, C., Brush, M., … Haendel, M. A. (2016). The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species. Nucleic Acids Research, 45(D1), D712–D722. doi:10.1093/nar/gkw1128en_US
dc.identifier.urihttps://hdl.handle.net/1805/21175
dc.language.isoen_USen_US
dc.publisherOxford Journalsen_US
dc.relation.isversionof10.1093/nar/gkw1128
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleThe Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across speciesen_US
dc.typeArticleen_US
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