A computational method for immune repertoire mining that identifies novel binders from different clonotypes, demonstrated by identifying anti-pertussis toxoid antibodies.

MLA

Richardson, Eve, et al. “A Computational Method for Immune Repertoire Mining That Identifies Novel Binders from Different Clonotypes, Demonstrated by Identifying Anti-Pertussis Toxoid Antibodies.” MAbs, vol. 13, no. 1, Jan. 2021, p. 1869406. EBSCOhost, https://doi.org/10.1080/19420862.2020.1869406.

APA

Richardson, E., Galson, J. D., Kellam, P., Kelly, D. F., Smith, S. E., Palser, A., Watson, S., & Deane, C. M. (2021). A computational method for immune repertoire mining that identifies novel binders from different clonotypes, demonstrated by identifying anti-pertussis toxoid antibodies. MAbs, 13(1), 1869406. https://doi.org/10.1080/19420862.2020.1869406

Chicago

Richardson, Eve, Jacob D Galson, Paul Kellam, Dominic F Kelly, Sarah E Smith, Anne Palser, Simon Watson, and Charlotte M Deane. 2021. “A Computational Method for Immune Repertoire Mining That Identifies Novel Binders from Different Clonotypes, Demonstrated by Identifying Anti-Pertussis Toxoid Antibodies.” MAbs 13 (1): 1869406. doi:10.1080/19420862.2020.1869406.