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Updated: Sep 19, 2026

Single Droplet Digital Polymerase Chain Reaction for Comprehensive and Simultaneous Detection of Mutations in Hotspot Regions
Published on: September 25, 2018
Beyond genes and hotspots: Protein-informed interpretation of cancer mutations
1Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Brown Center for Immunotherapy, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Abstract:
Interpreting the biological and clinical significance of somatic mutations in cancer genomes remains challenging. In this issue of Cancer Cell, Hyeon et al. identify and map significantly mutated regions to protein domains and structural features, establishing a proteo-genomics framework for interpreting cancer mutations beyond genes and hotspots.
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