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基因组流:用于建模和分析 3D 基因组结构的综合图形工具。

GenomeFlow: a comprehensive graphical tool for modeling and analyzing 3D genome structure.

机构信息

Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.

出版信息

Bioinformatics. 2019 Apr 15;35(8):1416-1418. doi: 10.1093/bioinformatics/bty802.

Abstract

MOTIVATION

Three-dimensional (3D) genome organization plays important functional roles in cells. User-friendly tools for reconstructing 3D genome models from chromosomal conformation capturing data and analyzing them are needed for the study of 3D genome organization.

RESULTS

We built a comprehensive graphical tool (GenomeFlow) to facilitate the entire process of modeling and analysis of 3D genome organization. This process includes the mapping of Hi-C data to one-dimensional (1D) reference genomes, the generation, normalization and visualization of two-dimensional (2D) chromosomal contact maps, the reconstruction and the visualization of the 3D models of chromosome and genome, the analysis of 3D models and the integration of these models with functional genomics data. This graphical tool is the first of its kind in reconstructing, storing, analyzing and annotating 3D genome models. It can reconstruct 3D genome models from Hi-C data and visualize them in real-time. This tool also allows users to overlay gene annotation, gene expression data and genome methylation data on top of 3D genome models.

AVAILABILITY AND IMPLEMENTATION

The source code and user manual: https://github.com/jianlin-cheng/GenomeFlow.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

三维(3D)基因组组织在细胞中发挥着重要的功能作用。为了研究 3D 基因组组织,需要构建用于从染色体构象捕获数据重建 3D 基因组模型并对其进行分析的用户友好型工具。

结果

我们构建了一个综合性的图形工具(GenomeFlow),以促进 3D 基因组组织建模和分析的整个过程。这个过程包括将 Hi-C 数据映射到一维(1D)参考基因组、生成、归一化和可视化二维(2D)染色体接触图、重建和可视化染色体和基因组的 3D 模型、分析 3D 模型以及将这些模型与功能基因组学数据集成。这个图形工具是在重建、存储、分析和注释 3D 基因组模型方面的首创。它可以从 Hi-C 数据中重建 3D 基因组模型,并实时可视化。该工具还允许用户在 3D 基因组模型上叠加基因注释、基因表达数据和基因组甲基化数据。

可用性和实现

源代码和用户手册:https://github.com/jianlin-cheng/GenomeFlow。

补充信息

补充数据可在 Bioinformatics 在线获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5bd/6477968/f6122d2ab68e/bty802f1.jpg

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