Aksoy BA, Dančík V, Smith K, et al. CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network. Database (Oxford). 2017;2017. doi:10.1093/database/bax054
Hoadley KA, Yau C, Hinoue T, et al. Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer. Cell. 2018;173(2):291-304.e6. doi:10.1016/j.cell.2018.03.022
Frayling TM, Beaumont RN, Jones SE, et al. A Common Allele in FGF21 Associated with Sugar Intake Is Associated with Body Shape, Lower Total Body-Fat Percentage, and Higher Blood Pressure. Cell Rep. 2018;23(2):327-336. doi:10.1016/j.celrep.2018.03.070
Landry LG, Ali N, Williams DR, Rehm HL, Bonham VL. Lack Of Diversity In Genomic Databases Is A Barrier To Translating Precision Medicine Research Into Practice. Health Aff (Millwood). 2018;37(5):780-785. doi:10.1377/hlthaff.2017.1595
Hsu YHH, Churchhouse C, Pers TH, et al. PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data. PLoS Comput Biol. 2019;15(1):e1006734. doi:10.1371/journal.pcbi.1006734
Camacho DM, Collins KM, Powers RK, Costello JC, Collins JJ. Next-Generation Machine Learning for Biological Networks. Cell. 2018;173(7):1581-1592. doi:10.1016/j.cell.2018.05.015
Klekota J, Roth FP, Schreiber SL. Query Chem: a Google-powered web search combining text and chemical structures. Bioinformatics. 2006;22(13):1670-3. doi:10.1093/bioinformatics/btl155
Lamb J, Crawford ED, Peck D, et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science. 2006;313(5795):1929-35. doi:10.1126/science.1132939
Seiler KP, Kuehn H, Happ MP, Decaprio D, Clemons PA. Using ChemBank to probe chemical biology. Curr Protoc Bioinformatics. 2008;Chapter 14:Unit 14.5. doi:10.1002/0471250953.bi1405s22
Haggarty SJ. The principle of complementarity: chemical versus biological space. Curr Opin Chem Biol. 2005;9(3):296-303. doi:10.1016/j.cbpa.2005.04.006