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Benchmarking germline variant calling performance of a GPU-accelerated tool on whole-genome sequencing datasets

2024-05-03

Abstract excerpt

<title>Abstract</title> <p>Background Rapid advances in next-generation sequencing (NGS) have enabled ultralarge population and cohort studies to identify DNA variants that may impact gene function. Efficient bioinformatics tools, such as read alignment and variant calling, are essential for processing massive amounts of sequencing data. To increase the analysis speed, multiple software and hardware acceleration...

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Literature Corpus work
a9d3ac3a-651c-54d8-8d30-cd7dad735cff
DOI
10.21203/rs.3.rs-4318731/v1
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Benchmarking germline variant calling performance of a GPU-accelerated tool on whole-genome sequencing datasetsDOI 10.21203/rs.3.rs-4318731/v1
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