Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster.

MLA

Žukauskaitė, Gabrielė, et al. “Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster.” Current Issues in Molecular Biology, vol. 45, no. 4, Apr. 2023, pp. 2972–83. EBSCOhost, https://doi.org/10.3390/cimb45040195.

APA

Žukauskaitė, G., Domarkienė, I., Matulevičienė, A., Dauengauer-Kirlienė, S., Kučinskas, V., & Ambrozaitytė, L. (2023). Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster. Current Issues in Molecular Biology, 45(4), 2972–2983. https://doi.org/10.3390/cimb45040195

Chicago

Žukauskaitė, Gabrielė, Ingrida Domarkienė, Aušra Matulevičienė, Svetlana Dauengauer-Kirlienė, Vaidutis Kučinskas, and Laima Ambrozaitytė. 2023. “Identifying Genomic Signatures of Positive Selection to Predict Protective Genomic Loci in the Cohort of Lithuanian Clean-Up Workers of the Chornobyl Nuclear Disaster.” Current Issues in Molecular Biology 45 (4): 2972–83. doi:10.3390/cimb45040195.