# cOmicsArt—a customizable Omics Analysis and reporting tool

## TL;DR

cOmicsArt is a customizable tool that combines a graphical interface for omics data analysis with reproducible R scripts, enhancing collaboration and education.

## Contribution

cOmicsArt introduces a GUI-based tool with direct R integration for omics analysis, enabling reproducibility and seamless transition to custom code.

## Key findings

- cOmicsArt provides interactive visualizations and automatic documentation for user-friendly data analysis.
- The tool supports reproducibility through downloadable R scripts and is suitable for both novices and experienced users.
- cOmicsArt can be used in educational settings to guide students from GUI-based analysis to R code.

## Abstract

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.

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.

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.