scASfind

scASfind enables quantitative analysis of cell type-specific splicing events using full-length scRNA-seq data.

Key Features:

• Efficient data structure: Stores the percent spliced-in value for each splicing event to enable exhaustive search patterns.
• Marker event identification: Identifies splicing events that serve as markers for specific cell types.
• Mutually exclusive event detection: Finds mutually exclusive splicing events across cell types.
• Block exon analysis: Identifies events involving large blocks of exons specific to one or more cell types.
• Differential splicing search: Enables exhaustive search for patterns among all differential splicing events.

Scientific Applications:

• Cell type-specific splicing analysis: Quantifies alternative splicing patterns at the single-cell level using full-length scRNA-seq data.
• Alternative splicing pattern mining: Discovers cell type-specific alternative splicing patterns beyond gene-level analyses in scRNA-seq studies.

Methodology:

scASfind utilizes an efficient data structure to store the percent spliced-in value for each splicing event, enabling exhaustive search for patterns among all differential splicing events.