Beschreibung
Multi-omics integration plays a central role in systems biology and biomarker discovery. Werecently introduced HOLOMICS, a user-friendly R Shiny application that supports multi-omics
analysis via automated preprocessing, dimensionality reduction, and correlation-based
integration using mixOmics methods such as sPLS and DIABLO. Holomics is specifically
designed to be accessible for life scientists without deep programming or statistical expertise
and supports flexible integration of 2–n omics layers. Currently, we are benchmarking
HOLOMICS against other state-of-the-art tools for multi-omics integration, including deep
learning frameworks. Our comparison focuses on practical aspects such as usability, resource
requirements, transparency of feature selection, and interpretability, in addition to
methodological capabilities. This contribution will introduce the core functionality and
workflow of HOLOMICS, highlight its application in a real-world case study integrating
transcriptomics, metabolomics, and microbiomics data, and provide an outlook on the ongoing
comparative analysis. We will discuss strengths and limitations of different approaches and
outline scenarios where user-friendly solutions such as HOLOMICS may provide a valuable
alternative to high-performance, code-based tools.
| Zeitraum | 22 Sept. 2025 |
|---|---|
| Ereignistitel | 8th AMICI Symposium & Austrian Bioinformatics Workshop 2025 |
| Veranstaltungstyp | Konferenz |
| Ort | WienAuf Karte anzeigen |
| Bekanntheitsgrad | International |
Research Field
- Exploration of Biological Resources