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
McIver LJ, Abu-Ali G, Franzosa EA, et al. bioBakery: a meta’omic analysis environment. Bioinformatics. 2018;34(7):1235-1237. doi:10.1093/bioinformatics/btx754
Musunuru K, Bernstein D, Cole S, et al. Functional Assays to Screen and Dissect Genomic Hits: Doubling Down on the National Investment in Genomic Research. Circ Genom Precis Med. 2018;11(4):e002178. doi:10.1161/CIRCGEN.118.002178
Bray MA, Fraser AN, Hasaka TP, Carpenter AE. Workflow and metrics for image quality control in large-scale high-content screens. J Biomol Screen. 2012;17(2):266-74. doi:10.1177/1087057111420292
Gehlenborg N, Noble MS, Getz G, Chin L, Park PJ. Nozzle: a report generation toolkit for data analysis pipelines. Bioinformatics. 2013;29(8):1089-91. doi:10.1093/bioinformatics/btt085
Jerby-Arnon L, Pfetzer N, Waldman YY, et al. Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality. Cell. 2014;158(5):1199-209. doi:10.1016/j.cell.2014.07.027
Keshishian H, Burgess MW, Gillette MA, et al. Multiplexed, Quantitative Workflow for Sensitive Biomarker Discovery in Plasma Yields Novel Candidates for Early Myocardial Injury. Mol Cell Proteomics. 2015;14(9):2375-93. doi:10.1074/mcp.M114.046813
Svinkina T, Gu H, Silva JC, et al. Deep, Quantitative Coverage of the Lysine Acetylome Using Novel Anti-acetyl-lysine Antibodies and an Optimized Proteomic Workflow. Mol Cell Proteomics. 2015;14(9):2429-40. doi:10.1074/mcp.O114.047555
Blumenstiel B, DeFelice M, Birsoy O, et al. Development and Validation of a Mass Spectrometry-Based Assay for the Molecular Diagnosis of Mucin-1 Kidney Disease. J Mol Diagn. 2016;18(4):566-71. doi:10.1016/j.jmoldx.2016.03.003