Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California

The influence of seasons on biological processes is poorly understood. In order to identify biological seasonal patterns based on diverse molecular data, rather than calendar dates, we performed a deep longitudinal multiomics profiling of 105 individuals over 4 years. Here, we report more than 1000...

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Detalles Bibliográficos
Autores principales: Sailani, M. Reza, Metwally, Ahmed A., Zhou, Wenyu, Rose, Sophia Miryam Schüssler-Fiorenza, Ahadi, Sara, Contrepois, Kevin, Mishra, Tejaswini, Zhang, Martin Jinye, Kidziński, Łukasz, Chu, Theodore J., Snyder, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529769/
https://www.ncbi.nlm.nih.gov/pubmed/33004787
http://dx.doi.org/10.1038/s41467-020-18758-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529769/
https://www.ncbi.nlm.nih.gov/pubmed/33004787
http://dx.doi.org/10.1038/s41467-020-18758-1

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