Author

Ruolan Zhao

The University of Queensland

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· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:long-read sequencing· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alicia WalkeriD· 1 shared Ang LiiD· 1 shared Chon‐Kit Kenneth ChaniD· 1 shared David EdwardsiD· 1 shared Haochen CuiiD· 1 shared HueyTyng LeeiD· 1 shared Jacqueline BatleyiD· 1 shared Jens Hjerling‐LeffleriD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alicia WalkerORCID

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2 papers

Recent·Most cited

Benchmarking methods integrating GWAS and single-cell transcriptomic data for mapping trait-cell type associations

Ang Li, Peter C. Allen, Yong Wang, Haochen Cui, Tian Lin, Yuliangzi Sun, Xue Min Wang, Xiao Tan, Alicia Walker, Siqi Wang, Zheng Yao, Ruolan Zhao, Jian Yang, Shuyang Yao, Patrick F. Sullivan, , Jian Zeng

This paper benchmarks 20 methods for mapping trait-cell type associations by integrating GWAS and scRNA-seq data, finding CATCH to be the most robust approach.

medRxiv · May 24, 2025 · PreprintGenetic & Genomic Medicine

RefKA: A fast and efficient long-read genome assembly approach for large and complex genomes

Yuxuan Yuan, Philipp E. Bayer, Robyn Anderson, HueyTyng Lee, Chon‐Kit Kenneth Chan, Ruolan Zhao, Jacqueline Batley, David Edwards

RefKA assembles large complex genomes using long-read data with reduced computing requirements by binning a reference genome and parallelizing assembly steps.

bioRxiv · Apr 17, 2020 · PreprintBioinformatics