APA (7th ed.) Citation

Grifoni, A., Sidney, J., Zhang, Y., Scheuermann, R. H., Peters, B., & Sette, A. (2020). A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2. Cell host & microbe, 27(4), 671-680.e2. https://doi.org/10.1016/j.chom.2020.03.002

Chicago Style (17th ed.) Citation

Grifoni, Alba, John Sidney, Yun Zhang, Richard H. Scheuermann, Bjoern Peters, and Alessandro Sette. "A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2." Cell Host & Microbe 27, no. 4 (2020): 671-680.e2. https://doi.org/10.1016/j.chom.2020.03.002.

MLA (9th ed.) Citation

Grifoni, Alba, et al. "A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2." Cell Host & Microbe, vol. 27, no. 4, 2020, pp. 671-680.e2, https://doi.org/10.1016/j.chom.2020.03.002.