DiTSim: A Diffusion-Transformers Based Single-Cell ATAC-seq Data Simulator.

Area of Science:

• Genomics and Bioinformatics
• Epigenetics
• Computational Biology

Background:

• Single-cell ATAC sequencing (scATAC-seq) provides single-cell epigenetic resolution.
• Limitations in real scATAC-seq datasets and annotations impede computational method evaluation.
• Existing simulation methods lack manifold consistency and real-data alignment.

Purpose of the Study:

• To develop an advanced scATAC-seq data simulation method.
• To address limitations of current simulation techniques.
• To generate realistic and biologically relevant simulated scATAC-seq data for method assessment.

Main Methods:

• Proposed DiTSim, a simulation method utilizing diffusion transformers.
• Developed DiTSim to fit the global distribution of real scATAC-seq datasets.
• Enabled stable synthesis of samples with cell type annotations.

Main Results:

• DiTSim demonstrated high consistency with real scATAC-seq data.
• The method showed robustness across diverse datasets.
• Enrichment analysis confirmed the biological significance of simulated data.

Conclusions:

• DiTSim offers a robust and biologically relevant approach for scATAC-seq data simulation.
• The method facilitates unbiased evaluation of computational pipelines for scATAC-seq analysis.
• DiTSim overcomes limitations of previous simulation techniques, enhancing epigenetic data analysis.