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Deep Learning Enhanced Tandem Repeat Variation Identification via Multi-Modal Conversion of Nanopore Reads Alignment

2023-08-19

Abstract excerpt

Identification of tandem repeat (TR) variations plays a crucial role in advancing our understanding of genetic diseases, forensic analysis, evolutionary studies, and crop improvement, thereby contributing to various fields of research and practical applications. However, traditional TR identification methods are often limited to processing genomes obtained through sequence assembly and cannot directly start detect...

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Literature Corpus work
2ce4234a-3781-5cb8-878a-2b804f506093
DOI
10.1101/2023.08.17.553659
Open publication

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Deep Learning Enhanced Tandem Repeat Variation Identification via Multi-Modal Conversion of Nanopore Reads AlignmentDOI 10.1101/2023.08.17.553659
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