Dear reader,

Thank you for following our work.

We are pleased to share that PanelAppRex has been published as an open access article in Oxford Academic Bioinformatics Advances ^[1]. PanelAppRex is free to use, and the about page includes links to the publication, source code, dataset, and web app.

PanelAppRex AI is our implementation: a disease-gene panel retrieval system for precision medicine. It aggregates curated disease gene panels into a harmonised, searchable, and exportable dataset, so DNA can be searched systematically across relevant disease areas rather than only where we already expect to find answers.

About page:

https://switzerlandomics.ch/pages/panelAppRexAi_about/

Web app:

https://switzerlandomics.ch/technologies/panelAppRexAi/

In the manuscript, we benchmarked fifteen case studies across immunology, neurology, and additional disease areas. Under the recommended usage, the causal gene was recovered in every case.

PanelAppRex is especially useful in secure computing environments where direct internet access is restricted and external panel applications cannot be reached. It also avoids the bottleneck of making millions of API calls during high-throughput analyses.

The application also includes an AI-assisted summary layer. For each disease panel, it provides a concise, context-aware overview based on the genes in the panel and the disease area being analysed, similar in spirit to a UniProt-style summary for disease panels.

Thank you to colleagues at EPFL, UZH, the University Children’s Hospital Zurich, and the University of Leeds for their collaboration on this work.

Thank you again for your support.

Best wishes,
Dylan
Switzerland Omics

<sub>References
1. Quant Group, Simon Boutry, Ali Saadat, Sinisa Savic, Luregn J Schlapbach, Jacques Fellay, Dylan Lawless, PanelAppRex aggregates disease gene panels and facilitates sophisticated search, Bioinformatics Advances, 2026; vbag115, https://doi.org/10.1093/bioadv/vbag115.</sub>