simPIC:flexible simulation of paired-insertion counts for single-cell ATAC sequencing data

Area of Science:

• Genomics
• Computational Biology
• Epigenetics

Background:

• Single-cell Assay for Transposase Accessible Chromatin (scATAC-seq) is vital for studying genetic variation's impact on chromatin accessibility.
• Growing use of scATAC-seq necessitates advanced computational methods for complex biological and technical variations.
• Current method development is hindered by a lack of flexible simulation tools with established ground truth.

Purpose of the Study:

• Introduce simPIC, a novel simulation framework for generating realistic single-cell ATAC-seq data.
• Enable robust benchmarking of computational methods for scATAC-seq data analysis.
• Facilitate research into genotype-dependent chromatin accessibility variation.

Main Methods:

• simPIC simulates single-cell ATAC-seq data across individuals and cell types.
• Supports population-scale and single-individual simulations.
• Models cell groups, batch effects, and genotype-specific accessibility variations.

Main Results:

• Generated data closely mirrors real scATAC-seq datasets.
• simPIC effectively captures inter-individual and experimental variations.
• Outperforms existing tools in simulating realistic scATAC-seq data.

Conclusions:

• simPIC provides a flexible and realistic simulation framework for scATAC-seq data.
• Essential for advancing computational method development and benchmarking, particularly for caQTL mapping.
• Enhances the study of genetic architecture of chromatin accessibility across diverse biological contexts.