SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

Overview of attention for article published in Genome Biology, August 2021

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So far, Dimensions has found 17 publications that cite this research output.

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InPACT: a computational method for accurate characterization of intronic polyadenylation from RNA sequencing data

Article in Nature Communications (March 2024)

Advances in Alternative Polyadenylation in Tumors

Article in Advances in Clinical Medicine (January 2024)

CamoTSS: analysis of alternative transcription start sites for cellular phenotypes and regulatory patterns from 5' scRNA-seq data

Article in Nature Communications (November 2023)

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