Overview
Background
I am a senior bioinformatician at the Institute for Molecular Bioscience, The University of Queensland, with over 20 years of experience in next-generation sequencing (NGS) data analysis. My career began with the greenfield development of three major NGS platforms: 454, Illumina, and SOLiD. This early experience laid the foundation for my extensive expertise in bioinformatic analysis across a wide range of NGS data types.
While bioinformaticians are often positioned in service-oriented roles, my work has consistently extended beyond service delivery. For example, as the leader of the bioinformatics core facility at the Queensland Brain Institute from 2012 to 2022, my primary responsibilities included providing bioinformatics support, but I also actively contributed to project design, supervised PhD and Master’s students, and maintained a strong research profile.
To date, I have authored 45 peer-reviewed publications, with more than one-third as first, co-first, or last author. According to SciVal, over 57.8% of my publications rank in the top 10% most cited in their respective fields. My research spans the development of novel bioinformatics tools, such as the TRIAGE R package for regulatory analysis of both bulk and single-cell RNA-seq data (Briefings in Bioinformatics, 2025), as well as studies in single-cell transcriptomics (Nature Communications, 2025; Developmental Cell, 2024), lncRNA analysis (Molecular Psychiatry, 2024; Nature Communications, 2023), integrative analysis of ATAC-seq and lncRNA data (Cell Reports, 2022), de novo transcriptome assembly (Development, 2022), noncanonical Z-DNA structure analysis (Nature Neuroscience, 2020), m6dA DNA modification analysis (Nature Neuroscience, 2019), whole-exome sequencing analysis (Genome Medicine, 2017), and cross-ethnic meta-analysis (Nature Communications, 2017), reflecting a broad and sustained contribution across multiple areas of genomics and computational biology.
Availability
- Dr Qiongyi Zhao is:
- Available for supervision
Fields of research
Qualifications
- Bachelor of Engineering, Shanghai Jiao Tong University
- Doctoral Diploma of Science (Advanced), University of the Chinese Academy of Science
Works
Search Professor Qiongyi Zhao’s works on UQ eSpace
2011
Journal Article
Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study
Zhao, Qiong-Yi, Wang, Yi, Kong, Yi-Meng, Luo, Da, Li, Xuan and Hao, Pei (2011). Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study. BMC Bioinformatics, 12 (Suppl. 14) S2, 1-12. doi: 10.1186/1471-2105-12-S14-S2
Funding
Past funding
Supervision
Availability
- Dr Qiongyi Zhao is:
- Available for supervision
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Supervision history
Completed supervision
-
2026
Doctor Philosophy
Exploring the role of circular RNA translation in learning and memory
Associate Advisor
Other advisors: Professor Timothy Bredy
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2023
Master Philosophy
Long Noncoding RNAs: Needles or Straw in the Haystack?
Associate Advisor
Other advisors: Professor Timothy Bredy
Media
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