Seif, Y., Monk, J. M., Mih, N., Tsunemoto, H., Poudel, S., Zuniga, C., . . . Palsson, B. O. (2019). A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types. PLoS computational biology, 15(1), e1006644. https://doi.org/10.1371/journal.pcbi.1006644
Chicago Style (17th ed.) CitationSeif, Yara, Jonathan M. Monk, Nathan Mih, Hannah Tsunemoto, Saugat Poudel, Cristal Zuniga, Jared Broddrick, Karsten Zengler, and Bernhard O. Palsson. "A Computational Knowledge-base Elucidates the Response of Staphylococcus Aureus to Different Media Types." PLoS Computational Biology 15, no. 1 (2019): e1006644. https://doi.org/10.1371/journal.pcbi.1006644.
MLA (9th ed.) CitationSeif, Yara, et al. "A Computational Knowledge-base Elucidates the Response of Staphylococcus Aureus to Different Media Types." PLoS Computational Biology, vol. 15, no. 1, 2019, p. e1006644, https://doi.org/10.1371/journal.pcbi.1006644.