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The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species
The 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 o...
Autores principales: | Mungall, Christopher J., McMurry, Julie A., Köhler, Sebastian, Balhoff, James P., Borromeo, Charles, Brush, Matthew, Carbon, Seth, Conlin, Tom, Dunn, Nathan, Engelstad, Mark, Foster, Erin, Gourdine, J.P., Jacobsen, Julius O.B., Keith, Dan, Laraway, Bryan, Lewis, Suzanna E., NguyenXuan, Jeremy, Shefchek, Kent, Vasilevsky, Nicole, Yuan, Zhou, Washington, Nicole, Hochheiser, Harry, Groza, Tudor, Smedley, Damian, Robinson, Peter N., Haendel, Melissa A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210586/ https://www.ncbi.nlm.nih.gov/pubmed/27899636 http://dx.doi.org/10.1093/nar/gkw1128 |
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