Identification of rare variants in novel candidate genes in pulmonary atresia patients by next generation sequencing.

MLA

Shi, Xin, et al. “Identification of Rare Variants in Novel Candidate Genes in Pulmonary Atresia Patients by next Generation Sequencing.” Computational and Structural Biotechnology Journal, vol. 18, Feb. 2020, pp. 381–92. EBSCOhost, https://doi.org/10.1016/j.csbj.2020.01.011.

APA

Shi, X., Zhang, L., Bai, K., Xie, H., Shi, T., Zhang, R., Fu, Q., Chen, S., Lu, Y., Yu, Y., & Sun, K. (2020). Identification of rare variants in novel candidate genes in pulmonary atresia patients by next generation sequencing. Computational and Structural Biotechnology Journal, 18, 381–392. https://doi.org/10.1016/j.csbj.2020.01.011

Chicago

Shi, Xin, Li Zhang, Kai Bai, Huilin Xie, Tieliu Shi, Ruilin Zhang, Qihua Fu, et al. 2020. “Identification of Rare Variants in Novel Candidate Genes in Pulmonary Atresia Patients by next Generation Sequencing.” Computational and Structural Biotechnology Journal 18 (February): 381–92. doi:10.1016/j.csbj.2020.01.011.