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Abstract

Despite genomic sequencing rapidly transforming from being a bench-side tool to a routine procedure in a hospital, there is a noticeable lack of genomic analysis software that supports both clinical and research workflows as well as crowdsourcing. Furthermore, most existing software packages are not forward-compatible in regards to supporting ever-changing diagnostic rules adopted by the genetics community. Regular updates of genomics databases pose challenges for reproducible and traceable automated genetic diagnostics tools. Lastly, most of the software tools score low on explainability amongst clinicians. We have created a fully open-source variant curation tool, AnFiSA, with the intention to invite and accept contributions from clinicians, researchers and professional software developers. The design of AnFiSA addresses the aforementioned issues via the following architectural principles: using a multidimensional database management system (DBMS) for genomic data to address reproducibility, curated decision trees adaptable to changing clinical rules, and a crowdsourcing-friendly interface to address difficult-to-diagnose cases. We discuss how we have chosen our technology stack and describe the design and implementation of the software. Finally, we show in detail how selected workflows can be implemented using the current version of AnFiSA by a medical geneticist. All software is available at https://github.com/ForomePlatform under the Apache 2.0 license. The public demo instance with the public data sets can be accessed via https://github.com/ForomePlatform/AnFiSA#public-demo

Citations
2
FWCI
0.15
Field percentile
43th percentile

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Similarity Map
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52% semantic matchGenetic & Genomic Medicine
Erşen Kavak, Tolga Aslan, Ruçhan Karaman+6 more·Human Genomics·Aug 27, 2026· 2 citations