Nowotny Jackson, Wells Avery, Oluwadare Oluwatosin, Xu Lingfei, Cao Renzhi, Trieu Tuan, He Chenfeng, Cheng Jianlin
Computer Science Department, University of Missouri, Columbia, MO 65211, USA.
Informatics Institute, University of Missouri, Columbia, MO 65211, USA.
Sci Rep. 2016 Feb 12;6:20802. doi: 10.1038/srep20802.
It has been shown that genome spatial structures largely affect both genome activity and DNA function. Knowing this, many researchers are currently attempting to accurately model genome structures. Despite these increased efforts there still exists a shortage of tools dedicated to visualizing the genome. Creating a tool that can accurately visualize the genome can aid researchers by highlighting structural relationships that may not be obvious when examining the sequence information alone. Here we present a desktop application, known as GMOL, designed to effectively visualize genome structures so that researchers may better analyze genomic data. GMOL was developed based upon our multi-scale approach that allows a user to scale between six separate levels within the genome. With GMOL, a user can choose any unit at any scale and scale it up or down to visualize its structure and retrieve corresponding genome sequences. Users can also interactively manipulate and measure the whole genome structure and extract static images and machine-readable data files in PDB format from the multi-scale structure. By using GMOL researchers will be able to better understand and analyze genome structure models and the impact their structural relations have on genome activity and DNA function.
研究表明,基因组空间结构在很大程度上影响基因组活性和DNA功能。鉴于此,许多研究人员目前正试图精确模拟基因组结构。尽管付出了更多努力,但仍缺乏专门用于可视化基因组的工具。创建一个能够精确可视化基因组的工具,通过突出仅检查序列信息时可能不明显的结构关系,可帮助研究人员。在此,我们展示一款桌面应用程序,名为GMOL,旨在有效可视化基因组结构,以便研究人员能更好地分析基因组数据。GMOL是基于我们的多尺度方法开发的,该方法允许用户在基因组内的六个不同层次之间进行缩放。使用GMOL时,用户可以在任何尺度下选择任何单元,并对其进行放大或缩小,以可视化其结构并检索相应的基因组序列。用户还可以交互式地操作和测量整个基因组结构,并从多尺度结构中提取静态图像和PDB格式的机器可读数据文件。通过使用GMOL,研究人员将能够更好地理解和分析基因组结构模型及其结构关系对基因组活性和DNA功能的影响。