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Related Experiment Video

Updated: Aug 9, 2025

Capturing Chromosome Conformation Across Length Scales

Capturing Chromosome Conformation Across Length Scales

Published on: January 20, 2023

Pairtools: from sequencing data to chromosome contacts.

, Nezar Abdennur^1,2, Geoffrey Fudenberg³

¹Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, MA.

Biorxiv : the Preprint Server for Biology

|February 24, 2023

Summary

This summary is machine-generated.

Pairtools is a new suite of tools designed for efficient processing of chromosome conformation capture (3C+) sequencing data. It offers high-performance, flexible analysis for 3D genome organization studies.

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Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

3D genome organization studies generate massive sequencing data from Hi-C and related chromosome conformation capture (3C+) protocols.
Processing this heterogeneous data into contact pairs requires high-performance and flexible computational tools.

Approach:

Introducing pairtools, a modular command-line interface (CLI) toolkit for efficient contact extraction from 3C+ sequencing data.
Pairtools offers core and auxiliary tools for manipulating, filtering, and quality control of contact pairs.
The suite integrates seamlessly with Python data analysis libraries for versatile pipeline construction.

Key Points:

Pairtools provides protocol-specific tools for advanced analyses, including multi-way contacts, haplotype-resolved contacts, and single-cell Hi-C.
Benchmarking demonstrates pairtools' advantages in high-performance and flexibility compared to existing 3C+ data pipelines.
Its modular CLI design allows flexible chaining into custom data processing workflows.

Conclusions:

Pairtools offers a versatile and high-performance solution for analyzing large-scale 3D genome organization data.
The toolkit empowers researchers with flexible pipelines for diverse 3C+ applications.
Pairtools facilitates advanced genomic structure analysis through efficient contact pair processing.