Παραπομπή σε μορφή APA (7η εκδ.)

Fang, S., Zheng, R., Lei, C., Wang, J., Zhou, R., & Li, M. (2022). In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Computational Biology and Bioinformatics, IEEE/ACM Transactions on, IEEE/ACM Trans. Comput. Biol. and Bioinf., 19(3), 1694. https://doi.org/10.1109/TCBB.2021.3058265

Παραπομπή σε μορφή Chicago (17η εκδ.)

Fang, S., R. Zheng, C. Lei, J. Wang, R. Zhou, και M. Li. "In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2." IEEE/ACM Transactions on Computational Biology and Bioinformatics, Computational Biology and Bioinformatics, IEEE/ACM Transactions on, IEEE/ACM Trans. Comput. Biol. and Bioinf. 19, no. 3 (2022): 1694. https://doi.org/10.1109/TCBB.2021.3058265.

Παραπομπή σε μορφή MLA (9th εκδ.)

Fang, S., et al. "In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2." IEEE/ACM Transactions on Computational Biology and Bioinformatics, Computational Biology and Bioinformatics, IEEE/ACM Transactions on, IEEE/ACM Trans. Comput. Biol. and Bioinf., vol. 19, no. 3, 2022, p. 1694, https://doi.org/10.1109/TCBB.2021.3058265.

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