Author

Brian Tsui

University of California San DiegoORCID 0000-0001-8017-5895Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Dylan SkolaiD· 2 shared Hannah K. CarteriD· 2 shared Michelle T. Dow· 2 shared Adam KlieiD· 1 shared Chun-Nan Hsu· 1 shared Shamim Ara MollahiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Dylan SkolaORCID

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2 papers

Recent·Most cited

BioinformaticsDatabasePeer-reviewedJan 1, 2021

Increasing metadata coverage of SRA BioSample entries using deep learning based Named Entity Recognition

Adam Klie, Brian Tsui, Shamim Ara Mollah…·Hannah K. Carter

The paper uses deep learning for Named Entity Recognition to predict missing metadata in SRA BioSample entries, achieving high accuracy for species, condition, and strain categories.

21 citations

deep learningbenchmarking

𝕏 PostBluesky

BioinformaticsPacific Symposium on Biocomputing (PSB)Peer-reviewedNov 1, 2018

Extracting allelic read counts from 250,000 human sequencing runs in Sequence Read Archive

Brian Tsui, Michelle T. Dow, Dylan Skola, Hannah K. Carter

The paper reprocesses 250,000 human sequencing runs to extract allelic read counts for 300,000 variants, enabling variant detection across different sequencing strategies.

10 citationstop 2%

humanwhole-genome sequencing

𝕏 PostBluesky