Guorui Zhong

Cell biologist with applied skills in bioinformatics and computational biology.

Skills

  • Wet lab: Genome editing with CRISPR/Cas9, cell model development
  • Multi-omics: WGS, WES, RNA-seq, scRNA-seq, methylation arrays, proteomics
  • Spatial transcriptomics: Visium, Visium HD, 10x Genomics platforms
  • Imaging: High-throughput phenotypic profiling with machine learning
  • Programming: R (tidyverse, Bioconductor, ggplot2), Python

Research Interests

  • Genome engineering to dissect gene function in cancer and immune cells
  • Single-cell and spatial omics to study cellular heterogeneity
  • High-throughput imaging and computational analysis of cell behaviour
  • Multi-omics integration to uncover disease mechanisms
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