A multi-layered computational structural genomics approach enhances domain-specific interpretation of Kleefstra syndrome variants in EHMT1

MLA

Young-In Chi, et al. “A Multi-Layered Computational Structural Genomics Approach Enhances Domain-Specific Interpretation of Kleefstra Syndrome Variants in EHMT1.” Computational and Structural Biotechnology Journal, vol. 21, no. 5249–5258, Jan. 2023, pp. 5249–58. EBSCOhost, https://doi.org/10.1016/j.csbj.2023.10.022.

APA

Young-In Chi, Salomão D. Jorge, Davin R. Jensen, Brian C. Smith, Brian F. Volkman, Angela J. Mathison, Gwen Lomberk, Michael T. Zimmermann, & Raul Urrutia. (2023). A multi-layered computational structural genomics approach enhances domain-specific interpretation of Kleefstra syndrome variants in EHMT1. Computational and Structural Biotechnology Journal, 21(5249–5258), 5249–5258. https://doi.org/10.1016/j.csbj.2023.10.022

Chicago

Young-In Chi, Salomão D. Jorge, Davin R. Jensen, Brian C. Smith, Brian F. Volkman, Angela J. Mathison, Gwen Lomberk, Michael T. Zimmermann, and Raul Urrutia. 2023. “A Multi-Layered Computational Structural Genomics Approach Enhances Domain-Specific Interpretation of Kleefstra Syndrome Variants in EHMT1.” Computational and Structural Biotechnology Journal 21 (5249–5258): 5249–58. doi:10.1016/j.csbj.2023.10.022.