SPLINTER

SPLINTER analyzes alternative splicing sites to identify and interpret splice variants from sequence information and to support experimental validation via primer design and visual representations.

Key Features:

• Analysis of Alternative Splicing Sites: Identifies and analyzes alternative splicing events and splice variants within genomic sequence data.
• Interpretation Based on Sequence Information: Predicts functional implications of splicing events using sequence-derived information.
• Primer Design for Site Validation: Selects and designs primers targeting identified splicing sites for experimental validation.
• Visual Representation of Splicing Events: Generates visual representations of alternative splicing events to aid interpretation and experimental planning.

Scientific Applications:

• Genomics and Molecular Biology: Characterizes alternative splicing to study gene expression regulation and transcript diversity.
• Cellular Diversity and Gene Regulation: Explores how alternative splicing contributes to cellular diversity and differential gene function.
• Disease Mechanism and Therapeutic Target Investigation: Investigates splicing alterations relevant to disease mechanisms and potential therapeutic targets.
• Computational-to-Experimental Validation: Bridges computational predictions and laboratory validation by providing primer design and interpretive outputs.

Methodology:

Integration with Bioconductor within the R statistical programming environment for high-throughput data analysis and interoperability with Bioconductor packages.