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gganatogram:一个基于ggplot2的用于解剖图和组织模块化可视化的R包。

gganatogram: An R package for modular visualisation of anatograms and tissues based on ggplot2.

作者信息

Maag Jesper L V

机构信息

Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, New York, 10065, USA.

出版信息

F1000Res. 2018 Sep 28;7:1576. doi: 10.12688/f1000research.16409.2. eCollection 2018.

Abstract

Displaying data onto anatomical structures is a convenient technique to quickly observe tissue related information. However, drawing tissues is a complex task that requires both expertise in anatomy and the arts. While web based applications exist for displaying gene expression on anatograms, other non-genetic disciplines lack similar tools. Moreover, web based tools often lack the modularity associated with packages in programming languages, such as R. Here I present gganatogram, an R package used to plot modular species anatograms based on a combination of the graphical grammar of ggplot2 and the publicly available anatograms from the Expression Atlas. This combination allows for quick and easy, modular, and reproducible generation of anatograms. Using only one command and a data frame with tissue name, group, colour, and  value, this tool enables the user to visualise specific human and mouse tissues with desired colours, grouped by a variable, or displaying a desired value, such as gene-expression, pharmacokinetics, or bacterial load across selected tissues. gganatogram consists of 5 highly annotated organisms, male/female human/mouse, and a cell anatogram. It further consists of 24 other less annotated organisms from the animal and plant kingdom. I hope that this tool will be useful by the wider community in biological sciences. Community members are welcome to submit additional anatograms, which can be incorporated into the package. A stable version gganatogram has been deposited to neuroconductor, and a development version can be found on  github/jespermaag/gganatogram. An interactive shiny app of gganatogram can be found on  https://jespermaag.shinyapps.io/gganatogram/, which allows for non-R users to create anatograms.

摘要

将数据显示在解剖结构上是一种快速观察组织相关信息的便捷技术。然而,绘制组织是一项复杂的任务,既需要解剖学专业知识,也需要艺术技巧。虽然存在基于网络的应用程序用于在解剖图上显示基因表达,但其他非遗传学科缺乏类似的工具。此外,基于网络的工具通常缺乏与编程语言(如R)中的包相关的模块化特性。在这里,我介绍gganatogram,这是一个R包,用于基于ggplot2的图形语法和来自表达图谱的公开可用解剖图,绘制模块化的物种解剖图。这种结合使得能够快速、轻松、模块化且可重复地生成解剖图。仅使用一个命令和一个包含组织名称、组、颜色和值的数据框,该工具就能让用户以所需颜色可视化特定的人类和小鼠组织,按变量分组,或显示所需的值,如基因表达、药代动力学或选定组织中的细菌载量。gganatogram包含5种注释丰富的生物,包括男性/女性人类/小鼠,以及一个细胞解剖图。它还包括来自动植物王国的另外24种注释较少的生物。我希望这个工具能对更广泛的生物科学社区有用。欢迎社区成员提交额外的解剖图,这些图可以纳入该包中。gganatogram的稳定版本已存入Neuroconductor,开发版本可在github/jespermaag/gganatogram上找到。gganatogram的交互式闪亮应用程序可在https://jespermaag.shinyapps.io/gganatogram/上找到,这使得非R用户也能创建解剖图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac85/6248269/ac744c626f9d/f1000research-7-18533-g0000.jpg

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