Cite
Computational biology insights into genotype-clinical phenotype-protein phenotype relationships between novel SLC26A2 variants identified in inherited skeletal dysplasias.
MLA
Biji, Ishpreet K., et al. “Computational Biology Insights into Genotype-Clinical Phenotype-Protein Phenotype Relationships between Novel SLC26A2 Variants Identified in Inherited Skeletal Dysplasias.” European Journal of Medical Genetics, vol. 65, no. 10, Oct. 2022, p. 104595. EBSCOhost, https://doi.org/10.1016/j.ejmg.2022.104595.
APA
Biji, I. K., Yadav, S., Kulshrestha, S., Saxena, R., Kohli, S., Verma, I. C., Kumar, B., & Puri, R. D. (2022). Computational biology insights into genotype-clinical phenotype-protein phenotype relationships between novel SLC26A2 variants identified in inherited skeletal dysplasias. European Journal of Medical Genetics, 65(10), 104595. https://doi.org/10.1016/j.ejmg.2022.104595
Chicago
Biji, Ishpreet K, Siddharth Yadav, Samarth Kulshrestha, Renu Saxena, Sudha Kohli, I C Verma, Benu Kumar, and Ratna Dua Puri. 2022. “Computational Biology Insights into Genotype-Clinical Phenotype-Protein Phenotype Relationships between Novel SLC26A2 Variants Identified in Inherited Skeletal Dysplasias.” European Journal of Medical Genetics 65 (10): 104595. doi:10.1016/j.ejmg.2022.104595.