ASimulatoR

ASimulatoR simulates splice-aware RNA-Seq datasets to produce gold-standard benchmark data for evaluating alternative splicing (AS) analysis methods.

Key Features:

• Splice-Aware Simulation: Creates datasets that reflect the complexity of alternative splicing events in RNA-Seq data.
• Fine-Grained Control: Provides detailed control over the distribution of AS events and variables such as sequencing depth and read length.
• Gold-Standard Dataset Generation: Produces simulated datasets with known splicing patterns for rigorous testing and validation of RNA-Seq analysis pipelines.
• R Package Implementation: Implemented as an R package for simulation and data generation workflows.
• Biological Realism and Statistical Control: Integrates biological realism with statistical control to ensure simulated reads mimic real-world sequencing data.

Scientific Applications:

• Evaluate Tool Performance: Assess performance of RNA-Seq analysis tools across conditions such as changes in sequencing depth or read length.
• Study AS Event Detection: Investigate the sensitivity and specificity of alternative splicing detection methods.
• Optimize Experimental Design: Use simulated data to design experiments that maximize detection of biologically relevant splicing events.

Methodology:

Generates RNA-Seq reads based on user-defined parameters, simulates distributions of alternative splicing events, and integrates biological realism with statistical control to produce benchmark datasets.