AsaruSim

AsaruSim simulates synthetic single-cell long-read Nanopore datasets that mimic real experimental data to facilitate the evaluation of isoform detection methods.

Key Features:

• Synthetic Count Matrix Creation: AsaruSim creates a synthetic count matrix as the initial step in generating simulated datasets.
• Perfect Read Generation: The workflow generates perfect reads prior to introducing sequencing errors.
• Optional PCR Amplification: AsaruSim includes an optional step to simulate PCR amplification.
• Error Introduction: The workflow introduces sequencing errors to replicate real Nanopore data characteristics.
• Quality Control Reporting: AsaruSim produces comprehensive quality control reports on the simulated output.

Scientific Applications:

• Isoform Detection Method Evaluation: AsaruSim enables benchmarking and optimization of computational methods for detecting and quantifying transcript isoforms in single-cell long-read studies.
• Single-Cell RNA-Seq Simulation: The workflow generates realistic synthetic data for single-cell RNA sequencing experiments using Oxford Nanopore long-read technologies.
• Experimental Characteristic Reproduction: AsaruSim accurately reproduces experimental read characteristics from real datasets, as demonstrated on human peripheral blood mononuclear cells.

Methodology:

AsaruSim employs a multi-step process including synthetic count matrix creation, generation of perfect reads, optional PCR amplification, introduction of sequencing errors, and quality control reporting.