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A machine learning model predicts the genotype of CRISPR–Cas9 gene editing products, thereby enabling precise, template-free correction of disease-associated mutations.
By coupling multiplex iterative indirect immunofluorescence imaging with computer vision methods, researchers can detect at least 40 different proteins with subcellular resolution.
By incorporating an image-classification task into an online video game, the Human Protein Atlas project unlocks the gaming community as a citizen science force.