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NanoVar: a comprehensive workflow for structural variant detection to uncover the genome’s hidden patterns

Published Online: 2025-10-01

Authors

Samy, Asmaa

Tham, Cheng Yong

Dyer, Matthew

Benoukraf, Touati https://orcid.org/0000-0002-4789-8028
Funding

Funding for this research was provided by:

Canada Research Chairs (CRC-2022-00285)

National Research Foundation Singapore
License Information

Text and Data Mining valid from 2025-10-01

Version of Record valid from 2025-10-01
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Article History

Received: 14 June 2024

Accepted: 28 August 2025

First Online: 1 October 2025

Competing interests

: The authors declare no competing interests.

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