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Data Visualization: A view of every Points of View. Nature Methods Methagora Blog. 30 July (2013).
Katz Y, Wang ET, Silterra J, Schwartz S, Wong B, et al. Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics. 31, 2400-2 (2015).
Aravind Subramanian, Rajiv Narayan, Steven M. Corsello, ..., Bang Wong, Todd R. Golub. A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles. Cell 171, 1437-1452 (2017).
Taibo Li, et al. GeNets: a unified web platform for network-based genomic analyses. Nature Methods. 15, 543–546 (2018).
Bang Wong, M.S., M.A.
Bang Wong is a group leader in information design and data visualization at the Broad Institute of MIT and Harvard. He leads the Pattern team of experienced designers and software engineers who focus on creating visualizations and interactive tools to make data and scientific information more accessible, understandable, and useful. The Pattern team incorporates knowledge from vision science on how we see, from cognitive psychology on how we understand, and from user experience design to develop data presentation strategies that are aligned with our innate physiological wiring.
Wong regularly writes and gives talks about the fundamental aspects of visualization. He is the founding author of the “Points of View” series of articles published by Nature Methods. He also organizes the international meeting on Visualizing Biological Data (VIZBI) and started the Design Affinity Group at Broad.
Beyond his role at Broad, Wong is a faculty member in the Department of Art as Applied to Medicine at the Johns Hopkins University School of Medicine and a National Academy of Sciences Kavli Fellow. He holds an M.S. in immunology and an M.A. in medical illustration, both from Johns Hopkins.
Contact Bang Wong via email at [first name] at broadinstitute.org.
Photography by Donald Raymond