基本信息
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职业迁徙
个人简介
Research Interests
Exploring the fundamental epigenetic mechanisms of EBV associated Cancers, using Next-Generation Sequencing technologies, including Whole Genome/Exome Sequencing (WGS/WES), ChIP-Seq, RNA-seq, ATAC-seq, GRO-seq, HiC, ChIA-PET, 4C-seq, etc.
Investigate EBV Super-Enhancers regulatory effects through non-coding RNA (ncRNA) especially Enhancer RNA(eRNAs) and long-range interactions (ChIA-PET and 4C-seq) and build a comprehensive eRNA regulatory network that plays important role in the formation of EBV associated lymphomas. And I am also working on the Enhancers’ and Super Enhancers’ regulation on microRNAs through long-range interactions.
Use 3D genomics (HiC and ChIA-PET) and Functional Information (Gene Ontology and Pathway) to identify the disease-related variants (SNPs, INDELs, CNVs, etc.) from common variants, and illuminate how they influence the gene expressions and phenotype through integrative genomics and machine learning strategies.
Besides, Dr. Zhou also have years of research experiences in Protein-Protein Interactions (PPI) related studies; Pathway data integration and analysis; Human-Microbiome Metagenomic data analysis; data mining and machine learning application on clinical data, software and databases development based on these research areas. The experience in PPI and pathway networks serves as important source of creativity in his current genomic/epigenomic research.
Exploring the fundamental epigenetic mechanisms of EBV associated Cancers, using Next-Generation Sequencing technologies, including Whole Genome/Exome Sequencing (WGS/WES), ChIP-Seq, RNA-seq, ATAC-seq, GRO-seq, HiC, ChIA-PET, 4C-seq, etc.
Investigate EBV Super-Enhancers regulatory effects through non-coding RNA (ncRNA) especially Enhancer RNA(eRNAs) and long-range interactions (ChIA-PET and 4C-seq) and build a comprehensive eRNA regulatory network that plays important role in the formation of EBV associated lymphomas. And I am also working on the Enhancers’ and Super Enhancers’ regulation on microRNAs through long-range interactions.
Use 3D genomics (HiC and ChIA-PET) and Functional Information (Gene Ontology and Pathway) to identify the disease-related variants (SNPs, INDELs, CNVs, etc.) from common variants, and illuminate how they influence the gene expressions and phenotype through integrative genomics and machine learning strategies.
Besides, Dr. Zhou also have years of research experiences in Protein-Protein Interactions (PPI) related studies; Pathway data integration and analysis; Human-Microbiome Metagenomic data analysis; data mining and machine learning application on clinical data, software and databases development based on these research areas. The experience in PPI and pathway networks serves as important source of creativity in his current genomic/epigenomic research.
研究兴趣
论文共 49 篇作者统计合作学者相似作者
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Chunyi Hu,Tao Hu, Qiu Ji,Xinxin Ke,Hufeng Zhou, Chen-Lin Yu, Wenjun Ju,Meiling Lü,Yu Lin,Yangjing Ou,Yingsi Zhou,Yibei Xiao,
Research Square (Research Square) (2023)
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biorxiv(2023)
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bioRxiv : the preprint server for biology (2023)
biorxiv(2022)
Human Genetics and Genomics Advancesno. 2 (2022): 100096
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