APAlyzer: a bioinformatics package for analysis of alternative polyadenylation isoforms

Area of Science:

• Bioinformatics
• Genomics
• Molecular Biology

Background:

• Alternative polyadenylation (APA) generates diverse gene isoforms in eukaryotes.
• APA is crucial and dynamically regulated during cellular growth and differentiation.

Purpose of the Study:

• To introduce APAlyzer, a novel bioinformatics package for analyzing APA.
• To examine 3'UTR APA, intronic APA, and gene expression changes.

Main Methods:

• Utilizing RNA-seq data and the PolyA_DB database for annotated polyadenylation sites.
• Developing APAlyzer as an R/Bioconductor package.
• Applying APAlyzer to GTEx database data.

Main Results:

• APAlyzer enables comprehensive analysis of APA events and gene expression.
• The study presents detailed APA profiles across diverse human tissues.
• Demonstrated the utility of APAlyzer in large-scale genomic data analysis.

Conclusions:

• APAlyzer is a valuable tool for studying APA dynamics and gene expression.
• The findings provide insights into tissue-specific APA regulation.
• APAlyzer facilitates research into the functional consequences of APA.