ASpli

ASpli analyzes alternative splicing from RNA sequencing (RNA-seq) data to identify, quantify, and visualize splicing patterns within the Bioconductor and R ecosystem.

Key Features:

• Interoperability: Operates within the Bioconductor and R ecosystem to integrate with other Bioconductor packages.
• Splice junction detection: Identifies splice junctions from RNA-seq reads using algorithms suited to RNA-seq complexity.
• Quantification of splicing events: Quantifies alternative splicing events across samples.
• Supported event types: Handles exon skipping, intron retention, mutually exclusive exons, and other alternative splicing events.
• Statistical analysis: Applies statistical methods to assess significance of splicing differences across conditions or sample groups.
• Data preprocessing: Includes quality control and normalization procedures for RNA-seq input.
• Visualization: Produces integrated graphical representations to visualize splicing patterns and results.
• Package validation: Components are subject to Bioconductor package review and automated testing.

Scientific Applications:

• Genetic Research: Investigating the role of alternative splicing in genetic diseases and disorders.
• Cancer Biology: Identifying splicing events associated with oncogenesis and tumor progression.
• Developmental Biology: Exploring how splicing variations influence developmental processes.
• Pharmacogenomics: Assessing the impact of alternative splicing on drug response and personalized medicine.

Methodology:

Data preprocessing with quality control and normalization; splice junction detection from RNA-seq reads using algorithms for RNA-seq complexity; quantification of exon skipping, intron retention, mutually exclusive exons and other events; statistical assessment of splicing differences across conditions or sample groups; and generation of graphical visualizations.