Author

Brett Kiyota

University of British ColumbiaORCID 0000-0001-9339-7331Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Research Focus:clustering· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

Nozomu YachieiD· 3 shared Abdul Muntakim RafiiD· 1 shared Alima SuleimenovaiD· 1 shared Arman AdeliD· 1 shared Carl G. de BoeriD· 1 shared Chaehyeon Lee· 1 shared Haoyang YaoiD· 1 shared Hideto MoriiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersGenomics

Nozomu YachieORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Global tree encoding of atlas-scale single-cell genomics

Brett Kiyota, Chaehyeon Lee, Haoyang Yao, Nozomu Yachie

The paper introduces MILK, a framework for organizing single-cell genomic data into tree representations, enabling scalable analysis and preserving information across large datasets.

bioRxiv · Sep 4, 2026 · PreprintGenomics

A cuffed CRISPR guide RNA for microRNA activity-dependent genome editing

Arman Adel, Yutaro Shuto, Shunsuke Kawasaki, Yonggang Lu, Hiroki Ono, Satoshi N. Omura, Ryoya Nakagawa, Alima Suleimenova, Meghan Robinson, Tabea L. Stephan, Hideto Mori, Brett Kiyota, Sanchit Chopra, Nemekhbayar Baatartsogt, Morisada Hayakawa, , Nozomu Yachie

This paper introduces a cuffed guide RNA (cgRNA) that enables miRNA activity-dependent genome editing in human and mouse cells.

bioRxiv · Aug 11, 2026 · PreprintBioengineering

Characterizing homology-induced data leakage and memorization in genome-trained sequence models

Abdul Muntakim Rafi, Brett Kiyota, Nozomu Yachie, Carl G. de Boer

This paper identifies homology-induced data leakage in genome-trained sequence models and introduces hashFrag to improve evaluation and generalizability.

bioRxiv · Jan 22, 2025 · PreprintBioinformatics