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Understanding and modeling human traits and diseases: Insights from the comparative genomics resources of Zoonomia

Detalles Bibliográficos
Autores principales: Ye, Maosen, Zhang, Deng-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251142/
https://www.ncbi.nlm.nih.gov/pubmed/37305857
http://dx.doi.org/10.1016/j.xinn.2023.100444
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author Ye, Maosen
Zhang, Deng-Feng
author_facet Ye, Maosen
Zhang, Deng-Feng
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spelling pubmed-102511422023-06-10 Understanding and modeling human traits and diseases: Insights from the comparative genomics resources of Zoonomia Ye, Maosen Zhang, Deng-Feng Innovation (Camb) Commentary Elsevier 2023-05-20 /pmc/articles/PMC10251142/ /pubmed/37305857 http://dx.doi.org/10.1016/j.xinn.2023.100444 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Commentary
Ye, Maosen
Zhang, Deng-Feng
Understanding and modeling human traits and diseases: Insights from the comparative genomics resources of Zoonomia
title Understanding and modeling human traits and diseases: Insights from the comparative genomics resources of Zoonomia
title_full Understanding and modeling human traits and diseases: Insights from the comparative genomics resources of Zoonomia
title_fullStr Understanding and modeling human traits and diseases: Insights from the comparative genomics resources of Zoonomia
title_full_unstemmed Understanding and modeling human traits and diseases: Insights from the comparative genomics resources of Zoonomia
title_short Understanding and modeling human traits and diseases: Insights from the comparative genomics resources of Zoonomia
title_sort understanding and modeling human traits and diseases: insights from the comparative genomics resources of zoonomia
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251142/
https://www.ncbi.nlm.nih.gov/pubmed/37305857
http://dx.doi.org/10.1016/j.xinn.2023.100444
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