Published December 1, 2025 | Version v1.0.0
Software Open

MengQiuchen/cPeaks: v1.0.0

  • 1. Tsinghua University
  • 2. Cambridge University
  • 3. KTH Royal Institute of Technology

Description

Overview

This is the first stable release of cPeaks, a scalable and unified pipeline for generating consensus peaks from large-scale bulk ATAC-seq and single-cell ATAC-seq datasets. This version corresponds to the codebase used in the associated manuscript.

Included functionalities

  • End-to-end pipeline for processing >1700 bulk ATAC-seq and >230 scATAC-seq datasets
  • Construction of consensus peak references across tissues and cell types
  • Quality control and filtering modules
  • Peak merging and reproducibility assessment
  • Tissue-level and cell-type-level peak integration
  • Utility functions for peak annotation, comparison, and downstream analysis

Main features

  • Consensus peak construction using multi-sample merging and reproducibility scoring
  • Scale-optimized implementation, suitable for large public datasets
  • Cross-modality integration between bulk and single-cell ATAC-seq
  • Reproducibility-focused design with deterministic outputs
  • Fully open-source implementation in R/Python (depending on repository structure)

Repository contents

  • src/ — Core pipeline code
  • scripts/ — Helper scripts for batch processing
  • notebooks/ — Example analyses and visualization workflows
  • data/ — Example input files (if included)
  • docs/ — Documentation and usage instructions
  • README.md — Quick start guide

Version information

This release captures the exact version of the code used in the manuscript to ensure long-term reproducibility.
A DOI will be assigned after archiving this release on Zenodo/Figshare/Code Ocean.

Citation

If you use this release in your work, please cite it as:

Meng Q., et al. A generic reference defined by consensus peaks for scATAC-seq data analysis. GitHub repository, version v1.0.0 (2025). DOI: to be added

Files

MengQiuchen/cPeaks-v1.0.0.zip

Files (116.5 MB)

Name Size Download all
md5:cdbd626723a39585de07e415d968f3dd
116.5 MB Preview Download

Additional details

Related works