A team of computational biologists has developed an algorithm that can 'align' multiple sequencing datasets with single-cell resolution. The new method has implications for better understanding how different groups of cells change during disease progression, in response to drug treatment, or across evolution.
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New algorithm enables data integration at single-cell resolution
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