SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants

Qimeng Yang; Jianfeng Sun; Xinyu Wang; Jiong Wang; Quanzhong Liu; Jinlong Ru; Xin Zhang; Sizhe Wang; Ran Hao; Peipei Bian; Xuelei Dai; Mian Gong; Zhuangbiao Zhang; Ao Wang; Fengting Bai; Ran Li; Yudong Cai; Yu Jiang

doi:10.1038/s41467-025-57756-z

SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants

Q Qimeng Yang J Jianfeng Sun X Xinyu Wang J Jiong Wang (Innovation Center for Chemical Science, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, College of Chemistry, Chemical Engineering and Materials Science) Q Quanzhong Liu J Jinlong Ru X Xin Zhang S Sizhe Wang R Ran Hao P Peipei Bian X Xuelei Dai M Mian Gong Z Zhuangbiao Zhang A Ao Wang F Fengting Bai R Ran Li Y Yudong Cai Y Yu Jiang

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Article Details

Journal Nature Communications

Volume / Issue Vol. 16, Issue 1

Published March 11, 2025

DOI 10.1038/s41467-025-57756-z

ISSN 2041-1723

Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (18)

Q

Qimeng Yang

J

Jianfeng Sun

X

Xinyu Wang

J

Jiong Wang

Innovation Center for Chemical Science, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, College of Chemistry, Chemical Engineering and Materials Science

Q

Quanzhong Liu

J

Jinlong Ru

X

Xin Zhang

S

Sizhe Wang

R

Ran Hao

P

Peipei Bian

X

Xuelei Dai

M

Mian Gong

Z

Zhuangbiao Zhang

A

Ao Wang

F

Fengting Bai

R

Ran Li

Y

Yudong Cai

Y

Yu Jiang

SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants

Article Details

Journal Info

Authors (18)

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