研究领域

• 主要研究方向是多组学大数据驱动的神经精神疾病非编码基因组机制解读。目前的具体研究目标包括：（1）阿尔茨海默症、精神分裂症中罕见单碱基突变、结构变异的遗传机制和临床影响；（2）发现和解读脑疾病相关的基因组重复元件（尤其是内源性逆转录病毒）。研究涉及大量本地及公共多组学大数据，并致力于设计开发具有生物学意义、有助于对接临床的生物信息学方法。

论文成果查看更多

• 赵兴忠,陈靖祺, Peipei Xiao,冯建峰,Qing Nie、 赵兴明- Identifying age-specific gene signatures of the human cerebral cortex with joint analysis of transcriptomes and functional connectomes -Briefings in Bioinformatics -2020/12/26 -22
• Docking sites inside Cas9 for adenine base editing diversification and RNA off-target elimination -Nature Communications -2020/01/01 -11
• Prediction of Metabolic Gene Biomarkers for Neurodegenerative Disease by an Integrated Network-Based Approach -Biomed Research International -2015/01/01 -2015
• nMAGMA: a network-enhanced method for inferring risk genes from GWAS summary statistics and its application to schizophrenia -Briefings in Bioinformatics -2021/01/01 -22
• Integration of Cancer Gene Co-expression Network and Metabolic Network To Uncover Potential Cancer Drug Targets -Journal of Proteome Research -2013/01/01 -12
• A fully-automated event-based variant prioritizing solution to the CAGI5 intellectual disability gene panel challenge -Human Mutation -2019/01/01 -40

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