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cOmicsArt-a customizable omics analysis and reporting tool.
Bioinfo. Adv. 5:vbaf067 (2025)
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.
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Publication type
Article: Journal article
Document type
Scientific Article
ISSN (print) / ISBN
2635-0041
e-ISSN
2635-0041
Journal
Bioinformatics Advances
Quellenangaben
Volume: 5,
Issue: 1,
Article Number: vbaf067
Publisher
Oxford University Press
Publishing Place
Great Clarendon St, Oxford Ox2 6dp, England
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
Grants
Open Access Publication Fund of the University of Bonn
University of Bonn
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)
University of Bonn
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)