ScisorWiz

ScisorWiz visualizes differential isoform expression from single-cell long-read RNA sequencing to reveal alternative splicing patterns and their potential effects on protein functionality across cell types and brain regions.

Key Features:

• Isoform expression visualization: Displays differential isoform usage for specific genes across multiple cell types using single-cell long-read RNA sequencing data.
• Data flexibility: Operates on single-cell long-read RNA sequencing datasets from any cell type, tissue, or species.
• Sorting and clustering options: Applies sorting and clustering methods to organize cells and isoform-level observations for comparative analysis.
• Highlighting genomic features: Identifies and highlights alternative exons and single-nucleotide variants within isoforms.

Scientific Applications:

• Understanding disease mechanisms: Enables interrogation of how cell type–specific alternative splicing and isoform variation may underlie disease-associated molecular changes.
• Functional genomics research: Facilitates exploration of the functional consequences of isoform diversity on gene regulation and protein function across biological contexts.

Methodology:

Uses clustering methods to organize and interpret single-cell isoform sequencing data, visualizes gene-level isoform patterns across cell types, and highlights alternative exons and single-nucleotide variants.