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In this study, we have developed a bioinformatics framework called SAPAS (Systematic Alternative Polyadenylation Analysis at Single-cell level) to characterize the alternative polyadenylation landscape by leveraging 3′-tag-based scRNA-seq data. SAPAS could be utilized to identify poly(A) sites, quant...