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Updated: Feb 15, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
TSAPA: identification of tissue-specific alternative polyadenylation sites in plants
Guoli Ji1,2,3, Moliang Chen1, Wenbin Ye1
1Department of Automation.
Summary:
Alternative polyadenylation (APA) is now emerging as a widespread mechanism modulated tissue-specifically, which highlights the need to define tissue-specific poly(A) sites for profiling APA dynamics across tissues. We have developed an R package called TSAPA based on the machine learning model for identifying tissue-specific poly(A) sites in plants. A feature space including more than 200 features was assembled to specifically characterize poly(A) sites in plants. The classification model in TSAPA can be customized by selecting desirable features or classifiers. TSAPA is also capable of predicting tissue-specific poly(A) sites in unannotated intergenic regions. TSAPA will be a valuable addition to the community for studying dynamics of APA in plants.
Availability And Implementation:
https://github.com/BMILAB/TSAPA.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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