APA (7th ed.) Citation

Shukla, P., Pandey, P., Prasad, B., Robinson, T., Purohit, R., D'Cruz, L. G., . . . Bjourson, A. J. (2022). Immuno-informatics analysis predicts B and T cell consensus epitopes for designing peptide vaccine against SARS-CoV-2 with 99.82% global population coverage. Briefings in Bioinformatics, 23(1), 1. https://doi.org/10.1093/bib/bbab496

Chicago Style (17th ed.) Citation

Shukla, Priyank, et al. "Immuno-informatics Analysis Predicts B and T Cell Consensus Epitopes for Designing Peptide Vaccine Against SARS-CoV-2 with 99.82% Global Population Coverage." Briefings in Bioinformatics 23, no. 1 (2022): 1. https://doi.org/10.1093/bib/bbab496.

MLA (9th ed.) Citation

Shukla, Priyank, et al. "Immuno-informatics Analysis Predicts B and T Cell Consensus Epitopes for Designing Peptide Vaccine Against SARS-CoV-2 with 99.82% Global Population Coverage." Briefings in Bioinformatics, vol. 23, no. 1, 2022, p. 1, https://doi.org/10.1093/bib/bbab496.