Author

Xia Zhao

BGI Group (China)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Meihua GongiD· 2 shared Andrei Alexeev· 1 shared Andrew W. CarrolliD· 1 shared Ao CheniD· 1 shared Chongjun XuiD· 1 shared Fang Chen· 1 shared Feng MuiD· 1 shared Han Ren· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Meihua GongORCID

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2 papers

Recent·Most cited

PanVariants: Best Practice for Pangenome-based Variant Calling Pipeline and Framework

Heng Yi, Linqi Wang, Xinrui Chen, Yi Ding, Andrew W. Carroll, Pi-Chuan Chang, Kishwar Shafin, Lingyun Xu, Xiaojie Zeng, Xia Zhao, Meihua Gong, Xiaofang Wei, Yong Hou, Ming Ni

PanVariants improves variant calling by integrating k-mer and mapping methods, reducing errors and outperforming existing tools for SNVs, indels, and SVs.

bioRxiv · May 17, 2026 · PreprintBioinformatics

Advanced Whole Genome Sequencing Using an Entirely PCR-free Massively Parallel Sequencing Workflow

Hanjie Shen, Pengjuan Liu, Zhanqing Li, Fang Chen, Hui Jiang, Shiming Shi, Yang Xi, Qiaoling Li, Xiaojue Wang, Jing Zhao, Xinming Liang, Yinlong Xie, Lin Wang, Wenlan Tian, Tam Berntsen, , Radoje Drmanac

This paper demonstrates that PCR-free whole genome sequencing using the DNBSEQ platform and machine learning variant calling significantly reduces InDel errors and improves variant calling performance.

bioRxiv · Dec 20, 2019 · PreprintGenomics