Performance evaluation of structural variation detection using DNBSEQ whole-genome sequencing

Our study systematically analyzed and characterized germline SVs detected on WGS datasets sequenced from DNBSEQ platforms, providing a benchmark resource for further studies of SVs using DNBSEQ platforms.

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Publication Details

Journal
BMC Genomics
Published
2025-03-25
DOI
https://doi.org/10.1186/s12864-025-11494-0
Citations
2
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
1.61

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article

Performance evaluation of structural variation detection using DNBSEQ whole-genome sequencing

Dan An, Junhua Rao, Xinming Liang, Lihua Peng et al.
2 citations
BMC Genomics
Genomics and Phylogenetic Studies
1.61
article

Performance evaluation of structural variation detection using DNBSEQ whole-genome sequencing

Dan An, Junhua Rao, Xinming Liang, Lihua Peng, Huijuan Luo, Fang Chen
article en
2 citations

Abstract

Our study systematically analyzed and characterized germline SVs detected on WGS datasets sequenced from DNBSEQ platforms, providing a benchmark resource for further studies of SVs using DNBSEQ platforms.

BMC GenomicsVol. 26(1)
BGI Group (China) (CN)
National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 18%
Genomics and Phylogenetic Studies
1.61
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