ARGV:利用增强现实技术探索三维基因组结构。

IF 2.9 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Chrisostomos Drogaris, Yanlin Zhang, Eric Zhang, Elena Nazarova, Roman Sarrazin-Gendron, Sélik Wilhelm-Landry, Yan Cyr, Jacek Majewski, Mathieu Blanchette, Jérôme Waldispühl
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引用次数: 0

摘要

在过去的二十年里,科学家们越来越意识到三维(3D)基因组组织在调节细胞活动方面的重要性。Hi-C 和相关实验产生的二维接触矩阵可用于推断染色体结构的三维模型。在三维空间中可视化和分析基因组仍然具有挑战性。在此,我们介绍增强现实三维基因组浏览器 ARGV。ARGV 包含 350 多个根据 Hi-C 和成像数据推断的预计算和注释基因组结构。它可以使用标准手机或平板电脑在三维空间中对基因组进行交互式协作可视化。一项用户研究将 ARGV 与现有工具进行了比较,证明了 ARGV 的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ARGV: 3D genome structure exploration using augmented reality.

Over the past two decades, scientists have increasingly realized the importance of the three-dimensional (3D) genome organization in regulating cellular activity. Hi-C and related experiments yield 2D contact matrices that can be used to infer 3D models of chromosome structure. Visualizing and analyzing genomes in 3D space remains challenging. Here, we present ARGV, an augmented reality 3D Genome Viewer. ARGV contains more than 350 pre-computed and annotated genome structures inferred from Hi-C and imaging data. It offers interactive and collaborative visualization of genomes in 3D space, using standard mobile phones or tablets. A user study comparing ARGV to existing tools demonstrates its benefits.

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来源期刊
BMC Bioinformatics
BMC Bioinformatics 生物-生化研究方法
CiteScore
5.70
自引率
3.30%
发文量
506
审稿时长
4.3 months
期刊介绍: BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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