Ruggles KV, Krug K, Wang X, et al. Methods, Tools and Current Perspectives in Proteogenomics. Mol Cell Proteomics. 2017;16(6):959-981. doi:10.1074/mcp.MR117.000024
Deverka PA, Majumder MA, Villanueva AG, et al. Creating a data resource: what will it take to build a medical information commons?. Genome Med. 2017;9(1):84. doi:10.1186/s13073-017-0476-3
Dyke SOM, Knoppers BM, Hamosh A, et al. "Matching" consent to purpose: The example of the Matchmaker Exchange. Hum Mutat. 2017;38(10):1281-1285. doi:10.1002/humu.23278
Dyke SOM, Linden M, Lappalainen I, et al. Registered access: authorizing data access. Eur J Hum Genet. 2018;26(12):1721-1731. doi:10.1038/s41431-018-0219-y
Brody JA, Morrison AC, Bis JC, et al. Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology. Nat Genet. 2017;49(11):1560-1563. doi:10.1038/ng.3968
Ellrott K, Bailey MH, Saksena G, et al. Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines. Cell Syst. 2018;6(3):271-281.e7. doi:10.1016/j.cels.2018.03.002
Deretic V, Prossnitz E, Burge M, et al. Autophagy, Inflammation, and Metabolism (AIM) Center of Biomedical Research Excellence: supporting the next generation of autophagy researchers and fostering international collaborations. Autophagy. 2018;14(6):925-929. doi:10.1080/15548627.2018.1465784
Macarthur DG, Manolio TA, Dimmock DP, et al. Guidelines for investigating causality of sequence variants in human disease. Nature. 2014;508(7497):469-76. doi:10.1038/nature13127
Battey TWK, Valant V, Kassis SB, et al. Recommendations from the international stroke genetics consortium, part 2: biological sample collection and storage. Stroke. 2015;46(1):285-90. doi:10.1161/STROKEAHA.114.006851
Yozwiak NL, Schaffner SF, Sabeti PC. Data sharing: Make outbreak research open access. Nature. 2015;518(7540):477-9. doi:10.1038/518477a