{"title":"LoVis4u:用于比较基因组学的基因座可视化工具","authors":"Artyom A. Egorov, Gemma C. Atkinson","doi":"10.1101/2024.09.11.612399","DOIUrl":null,"url":null,"abstract":"<strong>Summary:</strong> Comparative genomic analysis often involves visualisation of alignments of genomic loci. While several software tools are available for this task, ranging from Python and R libraries to standalone graphical user interfaces, there is lack of a tool that offers fast, automated usage and the production of publication-ready vector images. Here we present LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualisation of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualising entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences. <strong>Availability and Implementation:</strong> LoVis4u is implemented in Python3 and runs on Linux and MacOS. The command-line interface covers most practical use cases, while the provided Python API allows usage within a Python program, integration into external tools, and additional customisation. Source code is available at the GitHub page: github.com/art-egorov/lovis4u. Detailed documentation that includes an example-driven guide is available from the software home page: art-egorov.github.io/lovis4u.","PeriodicalId":501307,"journal":{"name":"bioRxiv - Bioinformatics","volume":"147 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LoVis4u: Locus Visualisation tool for comparative genomics\",\"authors\":\"Artyom A. Egorov, Gemma C. Atkinson\",\"doi\":\"10.1101/2024.09.11.612399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Summary:</strong> Comparative genomic analysis often involves visualisation of alignments of genomic loci. While several software tools are available for this task, ranging from Python and R libraries to standalone graphical user interfaces, there is lack of a tool that offers fast, automated usage and the production of publication-ready vector images. Here we present LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualisation of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualising entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences. <strong>Availability and Implementation:</strong> LoVis4u is implemented in Python3 and runs on Linux and MacOS. The command-line interface covers most practical use cases, while the provided Python API allows usage within a Python program, integration into external tools, and additional customisation. Source code is available at the GitHub page: github.com/art-egorov/lovis4u. Detailed documentation that includes an example-driven guide is available from the software home page: art-egorov.github.io/lovis4u.\",\"PeriodicalId\":501307,\"journal\":{\"name\":\"bioRxiv - Bioinformatics\",\"volume\":\"147 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"bioRxiv - Bioinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.09.11.612399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.11.612399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
摘要:比较基因组分析通常涉及基因组位点排列的可视化。虽然有多种软件工具可用于这一任务,从 Python 和 R 库到独立的图形用户界面,但仍缺乏一种工具可提供快速、自动化的使用并生成可用于发表的矢量图像。我们在此介绍 LoVis4u,它是一种命令行工具和 Python 应用程序接口,专为高度定制化和快速可视化多个基因组位点而设计。LoVis4u 可根据 GenBank 或 GFF 文件中的注释数据生成 PDF 格式的矢量图像。它能够可视化噬菌体的整个基因组以及质粒和用户定义的较长原核生物基因组区域。此外,LoVis4u 还提供可选的数据处理步骤,用于识别和突出显示输入序列中的附属基因和核心基因。可用性和实施:LoVis4u 由 Python3 实现,可在 Linux 和 MacOS 上运行。命令行界面涵盖了大多数实际用例,而提供的 Python API 允许在 Python 程序中使用、集成到外部工具中以及进行额外的定制。源代码可在 GitHub 页面获取:github.com/art-egorov/lovis4u。详细的文档(包括示例驱动指南)可从软件主页获取:art-egorov.github.io/lovis4u。
LoVis4u: Locus Visualisation tool for comparative genomics
Summary: Comparative genomic analysis often involves visualisation of alignments of genomic loci. While several software tools are available for this task, ranging from Python and R libraries to standalone graphical user interfaces, there is lack of a tool that offers fast, automated usage and the production of publication-ready vector images. Here we present LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualisation of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualising entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences. Availability and Implementation: LoVis4u is implemented in Python3 and runs on Linux and MacOS. The command-line interface covers most practical use cases, while the provided Python API allows usage within a Python program, integration into external tools, and additional customisation. Source code is available at the GitHub page: github.com/art-egorov/lovis4u. Detailed documentation that includes an example-driven guide is available from the software home page: art-egorov.github.io/lovis4u.