ArticleGenome biology2026
PolyAseqTrap: a universal tool for genome-wide identification and quantification of polyadenylation sites from different 3' end sequencing data.
Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Benchmarking computational methods for identifying and quantifying polyadenylation sites from 3' tag-based single-cell RNA-seq data.Nucleic acids research · 2026Article
- APAdeg enhances differentially expressed gene inference by leveraging site-specific signals in APA-seq data.Briefings in bioinformatics · 2026Article
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Authors and funding
4 authors.
Funding
Abstract
Alternative polyadenylation (APA) is a pervasive RNA-processing mechanism in eukaryotes that significantly promotes transcriptome and proteome diversity. Here we proposed PolyAseqTrap, an R package for probing polyA sites from diverse 3' sequencing data. PolyAseqTrap implements a polyA read prioritization strategy to determine precise positions of polyA sites. Particularly, it incorporates a transferrable cross-species deep learning model for mitigating the long-pending internal priming problem. Moreover, PolyAseqTrap employs a weighted density peak clustering method to reducing microheterogeneity impact in different species. We evaluated PolyAseqTrap using data from 16 different 3' sequencing techniques across multiple species, demonstrating the effectiveness and robustness of PolyAseqTrap.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.