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bioRxiv · 10.1101/2024.03.12.584547

SCAPE-APA: a package for estimating alternative polyadenylation events from scRNA-seq data

Cheng, G.·Le, T.·Zhou, R.·Cheng, L.
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Abstract

SummarySCAPE is a package we previously developed to estimate alternative polyadenylation events from single cell RNA-seq (scRNA-seq) data, which is composed of ad-hoc python scripts and has speed issues when handling large scRNA-seq data. To suit the needs of analyzing large scRNA-seq datasets, we present SCAPE-APA, which is a re-implementation of SCAPE with substantial changes. We made the following updates to the package (1) we binned similar reads together to accelerate the estimation (2) we re-derived the mixture model to tailor it for binned reads (3) we implemented the inference algorithm using Taichi language for acceleration (4) we re-implemented the untranslated region (UTR) annotation extraction script using the professional package gffutils for better maintenance (5) we wrote a script to detect spurious alternative polyadenylation sites generated due to junction reads and (6) we made a formal python package and uploaded it to the Python Package Index website (Pypi). Availability and ImplementationScape-apa is freely available at https://github.com/chengl7-lab/scape and can be easily installed using pip. Contactlu.cheng.ac@gmail.com

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Cheng, G., Le, T., Zhou, R., Cheng, L.. 2024-03-14. SCAPE-APA: a package for estimating alternative polyadenylation events from scRNA-seq data. https://doi.org/10.1101/2024.03.12.584547

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