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Determination of high-confidence germline genetic variants in next- generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmation

2025-05-13

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Orthogonal confirmation of variants identified by next-generation sequencing (NGS) is routinely performed in many clinical laboratories to improve assay specificity. However, confirmatory testing of all clinically significant variants increases both turnaround time and operating costs for laboratories. Improvements to early NGS methods and bioinformatics algorit...

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Literature Corpus work
b48f0958-baee-568a-bf7d-728ee3367f05
DOI
10.21203/rs.3.rs-6513733/v1
Open publication

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Determination of high-confidence germline genetic variants in next- generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmationDOI 10.21203/rs.3.rs-6513733/v1
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