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基因共:一种可视化的比较基因组方法,用于分析多个基因组结构。

geneCo: a visualized comparative genomic method to analyze multiple genome structures.

机构信息

Department of Information and Communication Engineering, Myongji University, Yongin, Gyeonggi-do, Korea.

Department of Biology, Chungnam National University, Daejeon, Korea.

出版信息

Bioinformatics. 2019 Dec 15;35(24):5303-5305. doi: 10.1093/bioinformatics/btz596.

Abstract

SUMMARY

In comparative and evolutionary genomics, a detailed comparison of common features between organisms is essential to evaluate genetic distance. However, identifying differences in matched and mismatched genes among multiple genomes is difficult using current comparative genomic approaches due to complicated methodologies or the generation of meager information from obtained results. This study describes a visualized software tool, geneCo (gene Comparison), for comparing genome structure and gene arrangements between various organisms. User data are aligned, gene information is recognized, and genome structures are compared based on user-defined GenBank files. Information regarding inversion, gain, loss, duplication and gene rearrangement among multiple organisms being compared is provided by geneCo, which uses a web-based interface that users can easily access without any need to consider the computational environment.

AVAILABILITY AND IMPLEMENTATION

Users can freely use the software, and the accessible URL is https://bigdata.dongguk.edu/geneCo. The main module of geneCo is implemented by Python and the web-based user interface is built by PHP, HTML and CSS to support all browsers.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

摘要

在比较和进化基因组学中,详细比较生物体之间的共同特征对于评估遗传距离至关重要。然而,由于复杂的方法或从获得的结果中产生的微薄信息,当前的比较基因组方法难以识别多个基因组中匹配和不匹配基因之间的差异。本研究描述了一种可视化软件工具 geneCo(基因比较),用于比较不同生物体之间的基因组结构和基因排列。用户数据经过对齐,基因信息被识别,并且基于用户定义的 GenBank 文件比较基因组结构。geneCo 提供了关于多个比较生物体之间的反转、获得、丢失、重复和基因重排的信息,它使用基于网络的界面,用户无需考虑计算环境即可轻松访问。

可用性和实现

用户可以免费使用该软件,可访问的 URL 是 https://bigdata.dongguk.edu/geneCo。geneCo 的主要模块是用 Python 实现的,基于网络的用户界面是由 PHP、HTML 和 CSS 构建的,以支持所有浏览器。

补充信息

补充数据可在 Bioinformatics 在线获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95d/6954651/81f1557d901f/btz596f1.jpg

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