BMC Bioinformatics (Sep 2024)

altAFplotter: a web app for reliable UPD detection in NGS diagnostics

  • Maximilian Radtke,
  • Johanna Moch,
  • Julia Hentschel,
  • Isabell Schumann

DOI
https://doi.org/10.1186/s12859-024-05922-3
Journal volume & issue
Vol. 25, no. 1
pp. 1 – 5

Abstract

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Abstract Background The detection of uniparental disomies (the inheritance of both chromosome homologues from a single parent, UPDs) is not part of most standard or commercial NGS-pipelines in human genetics and thus a common gap in NGS diagnostics. To address this we developed a tool for UPD-detection based on panel or exome data which is easy to use and publicly available. Results The app is freely available at https://altafplotter.uni-leipzig.de/ and implemented in Python, using the Streamlit framework for data science web apps. It utilizes bcftools and tabix for processing vcf files. The source code is available at https://github.com/HUGLeipzig/altafplotter and can be used to host your own instance of the tool. Conclusion We believe the app to be a great benefit for research and diagnostic labs, which struggle identifying and interpreting UPDs in their NGS diagnostic setup. The information provided allows a quick interpretation of the results and thus is suitable for usage in a high throughput manner by clinicians and biologists.

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