The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

In biology and biomedicine, relating phenotypic outcomes with genetic variation and environmental factors remains a challenge: patient phenotypes may not match known diseases, candidate variants may be in genes that haven’t been characterized, research organisms may not recapitulate human or veterin...

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Detalles Bibliográficos
Autores principales: Shefchek, Kent A, Harris, Nomi L, Gargano, Michael, Matentzoglu, Nicolas, Unni, Deepak, Brush, Matthew, Keith, Daniel, Conlin, Tom, Vasilevsky, Nicole, Zhang, Xingmin Aaron, Balhoff, James P, Babb, Larry, Bello, Susan M, Blau, Hannah, Bradford, Yvonne, Carbon, Seth, Carmody, Leigh, Chan, Lauren E, Cipriani, Valentina, Cuzick, Alayne, Della Rocca, Maria, Dunn, Nathan, Essaid, Shahim, Fey, Petra, Grove, Chris, Gourdine, Jean-Phillipe, Hamosh, Ada, Harris, Midori, Helbig, Ingo, Hoatlin, Maureen, Joachimiak, Marcin, Jupp, Simon, Lett, Kenneth B, Lewis, Suzanna E, McNamara, Craig, Pendlington, Zoë M, Pilgrim, Clare, Putman, Tim, Ravanmehr, Vida, Reese, Justin, Riggs, Erin, Robb, Sofia, Roncaglia, Paola, Seager, James, Segerdell, Erik, Similuk, Morgan, Storm, Andrea L, Thaxon, Courtney, Thessen, Anne, Jacobsen, Julius O B, McMurry, Julie A, Groza, Tudor, Köhler, Sebastian, Smedley, Damian, Robinson, Peter N, Mungall, Christopher J, Haendel, Melissa A, Munoz-Torres, Monica C, Osumi-Sutherland, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Database Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056945/
https://www.ncbi.nlm.nih.gov/pubmed/31701156
http://dx.doi.org/10.1093/nar/gkz997

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