MntJULiP

MntJULiP quantifies differential splicing at the intron level from RNA-seq data to detect changes in intron splicing ratios and absolute splicing levels across conditions.

Key Features:

• Intron-level quantification: Detects changes in intron splicing ratios and absolute splicing levels from RNA-seq data.
• Comprehensive detection of splicing classes: Identifies classes of splicing variation that are often missed by other methods.
• Novel intron discovery (GTEx brain): Identified over 29,000 differentially spliced introns across 1,398 GTEx brain samples, including 11,242 novel introns.
• Scalability: Processes thousands of samples in hours for large-scale RNA-seq studies.

Scientific Applications:

• Gene regulation research: Quantifies splicing differences to investigate molecular mechanisms of gene regulation.
• Phenotype and disease studies: Assesses how alternative splicing contributes to phenotypic diversity and disease pathology.

Methodology:

Analyzes RNA-seq data from two or more conditions using intron-level quantification to compare splicing events across different biological states.