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eXNVerify: coverage analysis for long and short-read sequencing data in clinical context.
Sebastian Porębski1, Tomasz Stokowy2
1Department of Cybernetics, Nanotechnology and Data Processing, Silesian University of Technology, Gliwice, Poland.
F1000Research
|January 4, 2024
Summary
eXNVerify evaluates genome coverage for clinical diagnostics, accelerating long-read sequencing adoption. This Dockerized tool simplifies variant calling accuracy assessment for genetic diseases.
Area of Science:
- Genomics
- Bioinformatics
- Clinical Diagnostics
Background:
- Genetic variant identification relies heavily on sequencing data quality, particularly coverage.
- Coverage quality directly impacts variant calling accuracy and patient diagnosis.
- Long-read sequencing offers potential for clinical diagnostics but requires robust evaluation tools.
Purpose of the Study:
- To develop a user-friendly tool for assessing genome coverage in clinical data.
- To facilitate the integration of long-read sequencing into medical diagnostics.
- To improve the accuracy of pathogenic variant detection.
Main Methods:
- Developed eXNVerify, a Docker containerized tool for clinical data inspection.
- Introduced Clinical Depth Coverage (CDC) to evaluate loci with pathogenic variants.
- Integrated visualization options for user-defined genes.
Main Results:
- eXNVerify successfully evaluates genome coverage and aids in pathogenic variant searches.
- Demonstrated application with BRCA1, TP53, and CFTR genes.
- Validated performance using the Extensive Sequence Dataset of Gold-Standard Samples.
Conclusions:
- eXNVerify enhances the diagnostic process for genetic diseases by improving genetic sample assessment.
- The Docker implementation ensures ease of use and accessibility for diagnosticians.
- The tool accelerates the adoption of advanced sequencing technologies in clinical practice.
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