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Correspondence on NanoVar’s performance outlined by Jiang T. et al. in “Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation”

Crossref DOI link: https://doi.org/10.1186/s12859-023-05484-w

Published Online: 2023-09-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Tham, Cheng Yong

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

Funding for this research was provided by:

Canada Research Chairs (4334)
License Information

Text and Data Mining valid from 2023-09-20

Version of Record valid from 2023-09-20
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Article History

Received: 21 January 2022

Accepted: 13 September 2023

First Online: 20 September 2023

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests.

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