Commonalities across computational workflows for uncovering explanatory variants in undiagnosed cases

MLA

Kobren, Shilpa Nadimpalli, et al. “Commonalities across Computational Workflows for Uncovering Explanatory Variants in Undiagnosed Cases.” Genetics in Medicine, vol. 23, no. 6, June 2021, pp. 1075–85. EBSCOhost, https://doi.org/10.1038/s41436-020-01084-8.

APA

Kobren, S. N., Baldridge, D., Velinder, M., Krier, J. B., LeBlanc, K., Esteves, C., Pusey, B. N., Züchner, S., Blue, E., Lee, H., Huang, A., Bastarache, L., Bican, A., Cogan, J., Marwaha, S., Alkelai, A., Murdock, D. R., Liu, P., Wegner, D. J., … Kohane, I. S. (2021). Commonalities across computational workflows for uncovering explanatory variants in undiagnosed cases. Genetics in Medicine, 23(6), 1075–1085. https://doi.org/10.1038/s41436-020-01084-8

Chicago

Kobren, Shilpa Nadimpalli, Dustin Baldridge, Matt Velinder, Joel B. Krier, Kimberly LeBlanc, Cecilia Esteves, Barbara N. Pusey, et al. 2021. “Commonalities across Computational Workflows for Uncovering Explanatory Variants in Undiagnosed Cases.” Genetics in Medicine 23 (6): 1075–85. doi:10.1038/s41436-020-01084-8.