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Seep, L.* ; Jost, P.J.* ; Lisowski, C.* ; Huang, H.* ; Grein, S.* ; Hermannsdottir, H.* ; Kuellmer, K.* ; Fromme, T.* ; Klingenspor, M.* ; Mass, E.* ; Kurts, C.* ; Hasenauer, J.

cOmicsArt-a customizable omics analysis and reporting tool.

Bioinfo. Adv. 5:vbaf067 (2025)
Verlagsversion Forschungsdaten DOI PMC
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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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Sprache englisch
Veröffentlichungsjahr 2025
HGF-Berichtsjahr 2025
ISSN (print) / ISBN 2635-0041
e-ISSN 2635-0041
Zeitschrift Bioinformatics Advances
Quellenangaben Band: 5, Heft: 1, Seiten: , Artikelnummer: vbaf067 Supplement: ,
Verlag Oxford University Press
Verlagsort Great Clarendon St, Oxford Ox2 6dp, England
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-553800-001
Förderungen Open Access Publication Fund of the University of Bonn
University of Bonn
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)
DOI 10.1093/bioadv/vbaf067
WOS ID 001489511800001
Scopus ID 105005263783
PubMed ID 40385593
Erfassungsdatum 2025-05-21
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