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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
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Extraction of poly(A) sites from large-scale RNA-Seq data.
Min Dong1, Guoli Ji, Qingshun Quinn Li
1Department of Automation, Xiamen University, Xiamen, Fujian, 361005, China.
Methods in Molecular Biology (Clifton, N.J.)
|December 10, 2014
Summary
A new bioinformatics pipeline processes Sequence Read Archive (SRA) data to identify mRNA polyadenylation sites. This tool aids in understanding gene expression and alternative polyadenylation across eukaryotic species.
Area of Science:
- Bioinformatics
- Molecular Biology
- Genomics
Background:
- The Sequence Read Archive (SRA) database stores vast amounts of RNA-Seq data from next-generation sequencing (NGS) technologies.
- Increasingly large datasets necessitate efficient methods for extracting biological insights, such as those related to mRNA 3'-end formation and alternative polyadenylation.
Purpose of the Study:
- To develop a bioinformatics pipeline for processing raw SRA sequence data.
- To enable high-quality identification of poly(A) sites and poly(A) cluster sites with expression information.
Main Methods:
- Development of a generic bioinformatics pipeline.
- Processing of raw SRA sequence data.
- Identification of poly(A) sites and poly(A) cluster sites.
Main Results:
- The pipeline successfully processes SRA data to yield poly(A) site information.
- High-quality poly(A) sites and cluster sites with expression data were obtained.
- The pipeline is applicable to any eukaryotic species.
Conclusions:
- The developed pipeline offers a valuable tool for polyadenylation studies.
- It facilitates deeper understanding of mRNA 3'-end formation and alternative polyadenylation.
- The generic nature of the pipeline supports broad application in eukaryotic genomics.
