A community-maintained standard library of population genetic models

The explosion in population genomic data demands ever more complex modes of analysis, and increasingly, these analyses depend on sophisticated simulations. Recent advances in population genetic simulation have made it possible to simulate large and complex models, but specifying such models for a pa...

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Detalles Bibliográficos
Autores principales: Adrion, Jeffrey R, Cole, Christopher B, Dukler, Noah, Galloway, Jared G, Gladstein, Ariella L, Gower, Graham, Kyriazis, Christopher C, Ragsdale, Aaron P, Tsambos, Georgia, Baumdicker, Franz, Carlson, Jedidiah, Cartwright, Reed A, Durvasula, Arun, Gronau, Ilan, Kim, Bernard Y, McKenzie, Patrick, Messer, Philipp W, Noskova, Ekaterina, Ortega-Del Vecchyo, Diego, Racimo, Fernando, Struck, Travis J, Gravel, Simon, Gutenkunst, Ryan N, Lohmueller, Kirk E, Ralph, Peter L, Schrider, Daniel R, Siepel, Adam, Kelleher, Jerome, Kern, Andrew D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438115/
https://www.ncbi.nlm.nih.gov/pubmed/32573438
http://dx.doi.org/10.7554/eLife.54967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438115/
https://www.ncbi.nlm.nih.gov/pubmed/32573438
http://dx.doi.org/10.7554/eLife.54967

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