APA (7th ed.) Citation

Li, S., Chiu, T., Jin, X., Cao, D., Xu, M., Zhu, M., . . . Zhao, S. (2023). Integrating genomic and multiomic data for Angelica sinensis provides insights into the evolution and biosynthesis of pharmaceutically bioactive compounds. Communications biology, 6(1), 1198-20. https://doi.org/10.1038/s42003-023-05569-5

Chicago Style (17th ed.) Citation

Li, Shiming, et al. "Integrating Genomic and Multiomic Data for Angelica Sinensis Provides Insights into the Evolution and Biosynthesis of Pharmaceutically Bioactive Compounds." Communications Biology 6, no. 1 (2023): 1198-20. https://doi.org/10.1038/s42003-023-05569-5.

MLA (9th ed.) Citation

Li, Shiming, et al. "Integrating Genomic and Multiomic Data for Angelica Sinensis Provides Insights into the Evolution and Biosynthesis of Pharmaceutically Bioactive Compounds." Communications Biology, vol. 6, no. 1, 2023, pp. 1198-20, https://doi.org/10.1038/s42003-023-05569-5.