Chan Zhou, PhD

Research Focus - Algorithm Development for Analyzing Multi-omics and Clinical Data to Unravel Noncoding RNAs and RNA Modifications in Cancer for Diagnosis and Therapy

• Develop machine-learning based computational methods to identify noncoding RNAs from high-throughput sequencing data in cancer patients as biomarkers for cancer diagnosis
• Develop computational algorithms to genome-widely de novo detect and functionally characterize long noncoding linear RNAs and circular RNAs in cancer
• Analyze and integrate complex multi-omics data to decipher aberrant circular RNA splicing in cancer to facilitate diagnosis and therapy
• Develop computational methods and pipelines to explore the regulatory roles of RNA modifications (especially m6A) in cancer

Representative Publication

Zhou C, Molinie B, Daneshvar K et al. Genome-wide maps of m6A circRNAs identify widespread and cell-type-specific methylation patterns that are distinct from mRNAs. Cell Rep. 2017;20(9):2262-2276

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