Detection, annotation and visualization of alternative splicing from RNA-Seq data with SplicingViewer.

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Alternative splicing generates diverse gene products, crucial for eukaryotic gene expression.
• Next-generation sequencing (RNA-Seq) offers genome-wide alternative splicing analysis opportunities.

Purpose of the Study:

• To develop an integrated software, SplicingViewer, for analyzing alternative splicing from RNA-Seq data.
• To provide unambiguous detection, annotation, and visualization of splice junctions and alternative splicing events.

Main Methods:

• Development of the SplicingViewer software.
• Utilizing RNA-Seq data for splice junction and alternative splicing event analysis.
• Implementation of a computational pipeline for classification of alternative splicing patterns.

Main Results:

• SplicingViewer enables straightforward identification and characterization of splice junctions.
• The software provides in-depth annotation and classification of diverse alternative splicing patterns.
• A user-friendly environment is offered for flexible visualization of alternative splicing landscapes.

Conclusions:

• SplicingViewer is a versatile tool for efficient and easy study of alternative splicing.
• The software facilitates comprehensive analysis of alternative splicing events from RNA-Seq data.
• SplicingViewer is freely accessible for research purposes.