Zhenxian Zheng

发表

Clair3-trio: high-performance Nanopore long-read variant calling in family trios with trio-to-trio deep neural networks

Ruibang Luo, T. Lam, Syed Shakeel Ahmed, 2022, bioRxiv.

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

Ruibang Luo, T. Lam, A. W. Leung, 2021, bioRxiv.

Evaluation of Mycobacterium tuberculosis enrichment in metagenomic samples using ONT adaptive sequencing and amplicon sequencing for identification and variant calling

Ruibang Luo, T. Lam, Tong Zhang, 2022, bioRxiv.

Applications and potentials of nanopore sequencing in the (epi)genome and (epi)transcriptome era

Dake Zhang, Ruibang Luo, Shoudong Zhang, 2021, Innovation.

ECNano: A cost-effective workflow for target enrichment sequencing and accurate variant calling on 4800 clinically significant genes using a single MinION flowcell

Henry C. M. Leung, Ruibang Luo, H. Luk, 2022, BMC medical genomics.

ECNano: A cost-effective workflow for target enrichment sequencing and accurate variant calling on 4800 clinically significant genes using a single MinION flowcell

Henry C. M. Leung, Ruibang Luo, T. Lam, 2021, BMC Medical Genomics.

Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP

Ruibang Luo, T. Lam, J. Su, 2023, bioRxiv.

ClairS: a deep-learning method for long-read somatic small variant calling

Ruibang Luo, T. Lam, Lei Chen, 2023, bioRxiv.