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GeCoViz:从功能和进化角度对原核基因进行基因组上下文可视化。

GeCoViz: genomic context visualisation of prokaryotic genes from a functional and evolutionary perspective.

机构信息

Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Campus de Montegancedo-UPM, Madrid, 28223, Spain.

Departamento de Biotecnología-Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid (UPM), Madrid, 28040, Spain.

出版信息

Nucleic Acids Res. 2022 Jul 5;50(W1):W352-W357. doi: 10.1093/nar/gkac367.

Abstract

Synteny conservation analysis is a well-established methodology to investigate the potential functional role of unknown prokaryotic genes. However, bioinformatic tools to reconstruct and visualise genomic contexts usually depend on slow computations, are restricted to narrow taxonomic ranges, and/or do not allow for the functional and interactive exploration of neighbouring genes across different species. Here, we present GeCoViz, an online resource built upon 12 221 reference prokaryotic genomes that provides fast and interactive visualisation of custom genomic regions anchored by any target gene, which can be sought by either name, orthologous group (KEGGs, eggNOGs), protein domain (PFAM) or sequence. To facilitate functional and evolutionary interpretation, GeCoViz allows to customise the taxonomic scope of each analysis and provides comprehensive annotations of the neighbouring genes. Interactive visualisation options include, among others, the scaled representations of gene lengths and genomic distances, and on the fly calculation of synteny conservation of neighbouring genes, which can be highlighted based on custom thresholds. The resulting plots can be downloaded as high-quality images for publishing purposes. Overall, GeCoViz offers an easy-to-use, comprehensive, fast and interactive web-based tool for investigating the genomic context of prokaryotic genes, and is freely available at https://gecoviz.cgmlab.org.

摘要

共线性保守分析是一种用于研究未知原核基因潜在功能作用的成熟方法。然而,用于重建和可视化基因组上下文的生物信息学工具通常依赖于缓慢的计算,仅限于狭窄的分类范围,并且/或者不允许在不同物种之间对相邻基因进行功能和交互式探索。在这里,我们展示了 GeCoViz,这是一个基于 12221 个参考原核基因组构建的在线资源,它提供了快速和交互式的可视化自定义基因组区域,这些区域由任何目标基因锚定,可以通过名称、直系同源群(KEGGs、eggNOGs)、蛋白质结构域(PFAM)或序列来搜索。为了促进功能和进化解释,GeCoViz 允许自定义每个分析的分类范围,并提供相邻基因的综合注释。交互式可视化选项包括基因长度和基因组距离的比例表示,以及对相邻基因共线性保守性的即时计算,可以根据自定义阈值突出显示。生成的图可以下载为高质量的图像用于发布目的。总的来说,GeCoViz 提供了一个易于使用、全面、快速和交互式的基于网络的工具,用于研究原核基因的基因组上下文,可在 https://gecoviz.cgmlab.org 免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94d2/9252766/695a1d75cca9/gkac367figgra1.jpg

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