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使用 Pairtools 和 Juicer 进行微-C 分析工作流程。

Micro-C Analysis Workflow Using Pairtools and Juicer.

机构信息

Laboratory of Genome Structure and Function, Institute for Quantitative Biosciences, University of Tokyo, Bunkyo City, Tokyo, Japan.

Karolinska Institutet, Department of Biosciences and Nutrition, Neo, Huddinge, Sweden.

出版信息

Methods Mol Biol. 2025;2856:63-70. doi: 10.1007/978-1-0716-4136-1_4.

Abstract

Three-dimensional (3D) chromosome structures are closely related to various chromosomal functions, and deep analysis of the structures is crucial for the elucidation of the functions. In recent years, chromosome conformation capture (3C) techniques combined with next-generation sequencing analysis have been developed to comprehensively reveal 3D chromosome structures. Micro-C is one such method that can detect the structures at nucleosome resolution. In this chapter, I provide a basic method for Micro-C analysis. I present and discuss a series of data analyses ranging from mapping to basic downstream analyses, including loop detection.

摘要

三维(3D)染色体结构与各种染色体功能密切相关,深入分析这些结构对于阐明功能至关重要。近年来,染色体构象捕获(3C)技术与下一代测序分析相结合,已被开发用于全面揭示 3D 染色体结构。Micro-C 就是这样一种可以在核小体分辨率下检测结构的方法。本章提供了 Micro-C 分析的基本方法。我介绍并讨论了一系列数据分析,从映射到基本下游分析,包括环检测。

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