Author

Zilan Mi

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.

Biology Disciplines

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Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Andrei Alexeev· 2 shared Han Ren· 2 shared Hanjie Shen· 2 shared Pengjuan Liu· 2 shared Qiaoling LiiD· 2 shared Radoje Drmanac· 2 shared Yang Xi· 2 shared Yuan JiangiD· 2 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersGenomics

Andrei Alexeev

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2 papers

Recent·Most cited

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

Development of Coupling Controlled Polymerizations by Adapter-ligation in Mate-pair Sequencing for Detection of Various Genomic Variants in One Single Assay

Zirui Dong, Xia Zhao, Qiaoling Li, Zhenjun Yang, Yang Xi, Andrei Alexeev, Hanjie Shen, Ou Wang, Jie Ruan, Han Ren, Hanmin Wei, Xiaojuan Qi, Jiguang Li, Xiaofan Zhu, Yanyan Zhang, , Yuan Jiang

This paper introduces a new mate-pair sequencing method called CP-AL that improves DNA-circularization efficiency and reduces contamination, enabling accurate detection of genomic variants.

DNA Research · May 8, 2019Peer-reviewedGenomics