simATAC

simATAC generates simulated single-cell Assay for Transposase-Accessible Chromatin sequencing (scATAC-seq) count matrices to reproduce library size, sparsity, and chromatin accessibility signals for benchmarking and evaluating scATAC-seq analysis methods.

Key Features:

• Realistic simulation: Produces simulated scATAC-seq count matrices that mimic real datasets in library size, sparsity, and averaged chromatin accessibility signals.
• Statistical modeling: Employs statistical models derived from the analysis of 90 real scATAC-seq cell groups to replicate read distributions and observed biological and technical variability.
• Systematic generation of labeled data: Generates large volumes of in silico scATAC-seq samples with known cell labels for controlled evaluation.

Scientific Applications:

• Pipeline development and evaluation: Provides reproducible simulated datasets for testing accuracy and robustness of scATAC-seq analysis pipelines.
• Benchmarking tools: Enables precise benchmarking of algorithms by using data with known parameters and read distribution characteristics.
• Educational datasets: Supplies controlled scATAC-seq examples for training and method demonstration without biological sample variability.

Methodology:

Implemented as an R package, simATAC derives statistical functions from extensive analysis of real scATAC-seq datasets (including 90 cell groups) and models read distributions to generate simulated scATAC-seq count matrices.