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三维基因组分析的计算方法

English | 2024 | ISBN-10: 1071641352 | 470 pages| Epub PDF (True) | 85 MB

This volume covers the latest methods and analytical approaches used to study the computational analysis of three-dimensional (3D) genome structure. The chapters in this book are organized into six parts. Part One discusses different NGS assays and the regulatory mechanism of 3D genome folding by SMC complexes. Part Two presents analysis workflows for Hi-C and Micro-C in different species, including human, mouse, medaka, yeast, and prokaryotes. Part Three covers methods for chromatin loop detection, sub-compartment detection, and 3D feature visualization. Part Four explores single-cell Hi-C and the cell-to-cell variability of the dynamic 3D structure. Parts Five talks about the analysis of polymer modelling to simulate the dynamic behavior of the 3D genome structure, and Part Six looks at 3D structure analysis using other omics data, including prediction of 3D genome structure from the epigenome, double-strand break-associated structure, and imaging-based 3D analysis using seqFISH. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and tools, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Computational Methods for 3D Genome Analysis: Methods and Protocols is a valuable resource for researchers interested in using computational methods to further their studies in the nature of 3D genome organization.

中文|2024|ISBN-10:1071641352|470页|Epub PDF(True)|85 MB本书涵盖了用于研究三维(3D)基因组结构计算分析的最新方法和分析方法。这本书的章节分为六个部分。第一部分讨论了不同的NGS检测方法以及SMC复合物对3D基因组折叠的调控机制。第二部分介绍了Hi-C和Micro-C在不同物种中的分析工作流程,包括人类、小鼠、水母、酵母和原核生物。第三部分涵盖了染色质环检测、亚室检测和3D特征可视化的方法。第四部分探讨了单细胞Hi-C和动态3D结构的细胞间变异性。第五部分介绍了聚合物建模的分析,以模拟3D基因组结构的动态行为,第六部分介绍了使用其他组学数据进行3D结构分析,包括从表观基因组预测3D基因组结构、双链断裂相关结构,以及使用seqFISH进行基于成像的3D分析。以非常成功的分子生物学方法系列格式编写,章节包括对各自主题的介绍、必要材料和工具的列表、循序渐进、易于复制的实验室协议,以及故障排除和避免已知陷阱的提示。尖端而全面的3D基因组分析计算方法:方法和协议是有兴趣使用计算方法进一步研究3D基因组组织本质的研究人员的宝贵资源。
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