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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Database Issue
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

Internet

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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