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ComicsArt - 一个可定制的组学分析与报告工具。

cOmicsArt-a customizable Omics Analysis and reporting tool.

作者信息

Seep Lea, Jost Paul Jonas, Lisowski Clivia, Huang Hao, Grein Stephan, Hermannsdottir Hildigunnur, Kuellmer Katharina, Fromme Tobias, Klingenspor Martin, Mass Elvira, Kurts Christian, Hasenauer Jan

机构信息

Computational Biology, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn 53115, Germany.

Institute of Molecular Medicine and Experimental Immunology (IMMEI), University Hospital of Bonn, University of Bonn, Bonn 53127, Germany.

出版信息

Bioinform Adv. 2025 Apr 1;5(1):vbaf067. doi: 10.1093/bioadv/vbaf067. eCollection 2025.

Abstract

MOTIVATION

The availability of bulk-omic data is steadily increasing, necessitating collaborative efforts between experimental and computational researchers. While software tools with graphical user interfaces (GUIs) enable rapid and interactive data assessment, they are limited to pre-implemented methods, often requiring transitions to custom code for further adjustments. However, the most available tools lack GUI-independent reproducibility such as direct integration with R, resulting in very limited support for transition.

RESULTS

We introduce the customizable Omics Analysis and reporting tool-cOmicsArt. cOmicsArt aims to enhance collaboration through integration of GUI-based analysis with R. The GUI allows researchers to perform user-friendly exploratory and statistical analyses with interactive visualizations and automatic documentation. Downloadable R scripts and results ensure reproducibility and seamless integration with R, supporting both novice and experienced programmers by enabling easy customizations and serving as a foundation for more advanced analyses. This versatility also allows for usage in educational settings guiding students from GUI-based analysis to R Code.

AVAILABILITY AND IMPLEMENTATION

cOmicsArt is freely available at https://shiny.iaas.uni-bonn.de/cOmicsArt/. User documentation is available at https://icb-dcm.github.io/cOmicsArt/. Source code is available at https://github.com/ICB-DCM/cOmicsArt. A docker available from https://hub.docker.com/r/pauljonasjost/comicsart/tags. A snapshot upon publication available from https://zenodo.org/records/14907620. A screen recording of cOmicsArt is available at: https://www.youtube.com/watch?v=pTGjtIYQOakp.

摘要

动机

批量组学数据的可用性正在稳步增加,这就需要实验研究人员和计算研究人员之间进行协作。虽然具有图形用户界面(GUI)的软件工具能够实现快速且交互式的数据评估,但它们仅限于预先实现的方法,通常需要转换为自定义代码才能进行进一步调整。然而,大多数现有工具缺乏与R直接集成等独立于GUI的可重复性,导致对转换的支持非常有限。

结果

我们推出了可定制的组学分析与报告工具——cOmicsArt。cOmicsArt旨在通过将基于GUI的分析与R集成来加强协作。该GUI允许研究人员通过交互式可视化和自动文档进行用户友好的探索性和统计分析。可下载的R脚本和结果确保了可重复性以及与R的无缝集成,通过实现轻松定制,为新手和经验丰富的程序员提供支持,并为更高级的分析奠定基础。这种多功能性还使其可用于教育环境,引导学生从基于GUI的分析过渡到R代码。

可用性与实现

cOmicsArt可在https://shiny.iaas.uni-bonn.de/cOmicsArt/免费获取。用户文档可在https://icb-dcm.github.io/cOmicsArt/获取。源代码可在https://github.com/ICB-DCM/cOmicsArt获取。可从https://hub.docker.com/r/pauljonasjost/comicsart/tags获取Docker镜像。发布时的快照可从https://zenodo.org/records/14907620获取。cOmicsArt的屏幕录制视频可在:https://www.youtube.com/watch?v=pTGjtIYQOakp查看。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/12085238/5213414761ac/vbaf067f1.jpg

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