AS-Quant

AS-Quant quantifies and analyzes alternative splicing events across biological conditions using RNA sequencing (RNA-seq) data to assess splice variant differences.

Key Features:

• Identification and Quantification: Computes read coverage for potential splicing exons and their corresponding genes to quantify splice variant abundance and compare differences between two biological conditions.
• Categorization of Splicing Events: Classifies alternative splicing events into five distinct types based on gene annotations.
• Visualization: Generates short-read coverage plots with comprehensive gene annotation for user-specified splicing events.
• Validation: Has been validated by RT-PCR to confirm significant alternative splicing events identified between two biological contexts.

Scientific Applications:

• Transcriptome analysis: Supports studies of gene expression regulation mediated by alternative splicing in RNA-seq datasets.
• Disease and developmental biology research: Facilitates investigation of splicing changes relevant to disease mechanisms and developmental processes.
• Genome-wide splice variant detection: Enables genome-wide detection and visualization of splice variants from short-read RNA-seq data.

Methodology:

Computational steps explicitly include read coverage calculation for potential splicing exons and associated genes; classification of splicing events into predefined, annotation-based categories and assessment of their significance between two biological conditions; and generation of short-read coverage plots with gene annotations.