Author

Qiaoling Li

BGI Group (China)ORCID 0000-0002-6780-2126Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:variant calling· 3 Assay:whole-genome sequencing· 3 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Hanjie Shen· 3 shared Pengjuan Liu· 3 shared Radoje Drmanac· 3 shared Yuan JiangiD· 3 shared Andrei Alexeev· 2 shared Ao CheniD· 2 shared Han Ren· 2 shared Hanmin Wei· 2 shared

Activity by Year

2019-2019 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Hanjie Shen

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3 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

Reliable Multiplex Sequencing with Rare Index Mis-Assignment on DNB-Based NGS Platform

Qiaoling Li, Xia Zhao, Wenwei Zhang, Lin Wang, Jingjing Wang, Dongyang Xu, Zhiying Mei, Qiang Liu, Shiyi Du, Zhanqing Li, Xinming Liang, Xiaman Wang, Hanmin Wei, Pengjuan Liu, Jing Zou, , Yuan Jiang

The paper evaluates index mis-assignment rates on DNB-based sequencing platforms and finds they are exceptionally low, suggesting reliable multiplex sequencing.

BMC Genomics · Mar 13, 2019Peer-reviewedGenomics