Milko LV, Funke BH, Hershberger RE, et al. Development of Clinical Domain Working Groups for the Clinical Genome Resource (ClinGen): lessons learned and plans for the future. Genet Med. 2019;21(4):987-993. doi:10.1038/s41436-018-0267-2
Publications
Mohanty AK, Vuzman D, Francioli L, et al. novoCaller: a Bayesian network approach for de novo variant calling from pedigree and population sequence data. Bioinformatics. 2019;35(7):1174-1180. doi:10.1093/bioinformatics/bty749
Kangeyan D, Dunford A, Iyer S, et al. A (fire)cloud-based DNA methylation data preprocessing and quality control platform. BMC Bioinformatics. 2019;20(1):160. doi:10.1186/s12859-019-2750-4
Rodriques SG, Stickels RR, Goeva A, et al. Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution. Science. 2019;363(6434):1463-1467. doi:10.1126/science.aaw1219
Tseng YY, Boehm JS. From cell lines to living biosensors: new opportunities to prioritize cancer dependencies using ex vivo tumor cultures. Curr Opin Genet Dev. 2019;54:33-40. doi:10.1016/j.gde.2019.02.007
Musunuru K, Kathiresan S. Genetics of Common, Complex Coronary Artery Disease. Cell. 2019;177(1):132-145. doi:10.1016/j.cell.2019.02.015
Zou T, Meyerson M. Circulating Tumor DNA Provides a Sneak Peek into Treatment Responses in Non-Small Cell Lung Cancer. Cancer Res. 2019;79(6):1038-1040. doi:10.1158/0008-5472.CAN-19-0231
Hong AL, Tseng YY, Wala JA, et al. Renal medullary carcinomas depend upon loss and are sensitive to proteasome inhibition. Elife. 2019;8. doi:10.7554/eLife.44161
van Galen P, Hovestadt V, Ii MHW, et al. Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity. Cell. 2019;176(6):1265-1281.e24. doi:10.1016/j.cell.2019.01.031
Kathiresan S. 2018 Curt Stern Award Address. Am J Hum Genet. 2019;104(3):384-388. doi:10.1016/j.ajhg.2019.02.011