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Capturing Chromosome Conformation Across Length Scales
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Analysis, Modeling, and Visualization of Chromosome Conformation Capture Experiments.

Marco Di Stefano1, David Castillo1, François Serra1

  • 1CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.

Methods in Molecular Biology (Clifton, N.J.)
|August 22, 2020
PubMed
Summary

Chromatin Conformation Capture data analysis requires automated pipelines. We present TADbit, a robust framework for analyzing chromosome organization, enabling reproducible 3D genome modeling from sequencing data.

Keywords:
3D modeling3D visualizationChromosome Conformation Capture data analysisDetection of TADsDetection of compartmentsInteraction filteringMatrix normalizationRead mapping

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Area of Science:

  • Genomics
  • Computational Biology
  • Molecular Biology

Background:

  • Chromatin Conformation Capture (3C) techniques reveal hierarchical genome organization, including compartments, topologically associating domains (TADs), and loops.
  • Computational analysis of 3C data is crucial for understanding this organization.
  • The increasing volume of 3C data necessitates automated, robust pipelines for comparative analysis and classification.

Purpose of the Study:

  • To develop and present an automated, reproducible pipeline for the analysis of Chromatin Conformation Capture data.
  • To facilitate the comparison, grouping, and classification of multiple 3C experiments.
  • To enable the reconstruction and visualization of 3D chromatin models.

Main Methods:

  • Utilized the TADbit framework to create a comprehensive, modular pipeline.
  • The pipeline covers all stages from raw sequencing data to 3D genome model visualization.
  • Emphasized reproducibility, automation, quality control, and statistical robustness throughout the workflow.

Main Results:

  • A fully automated pipeline for Chromatin Conformation Capture data analysis has been established.
  • The pipeline supports robust comparison and classification of multiple experimental datasets.
  • Enabled the generation of reconstructed 3D chromatin models.

Conclusions:

  • The presented TADbit-based pipeline addresses the need for automated and reproducible analysis of 3C data.
  • This framework enhances the ability to study genome hierarchical organization and compare diverse experimental outcomes.
  • Facilitates advanced research in 3D genome structure and function.