Author

Yat-Sing Wong

University of Hong Kong

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ruibang LuoiD· 2 shared Tak‐Wah LamiD· 2 shared Chak-Lim Wong· 1 shared Chi-Ian Tang· 1 shared Chi-Man Liu· 1 shared Chi-Ming Leung· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Ruibang LuoORCID

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2 papers

Recent·Most cited

Tracking cytosine depletion in SARS-CoV-2

Ruibang Luo, Yat-Sing Wong, Tak‐Wah Lam

The paper tracks cytosine depletion in SARS-CoV-2 over time using genomic data from GISAID and finds a monthly loss of cytosine correlated with mortality.

bioRxiv · Oct 26, 2020 · PreprintBioinformatics

Clair: Exploring the limit of using a deep neural network on pileup data for germline variant calling

Ruibang Luo, Chak-Lim Wong, Yat-Sing Wong, Chi-Ian Tang, Chi-Man Liu, Chi-Ming Leung, Tak‐Wah Lam

Clair is a germline small variant caller using single-molecule sequencing data that achieves high precision, recall, and speed, approaching the accuracy limit for pileup-based deep learning methods.

Nature Machine Intelligence · Apr 6, 2020Peer-reviewedBioinformatics