联系方式
邮箱：zhangtyo@hit.edu.cn
个人简介
1987 - 1992年：哈尔滨医科大学 临床医学学士
2001 - 2003年：日本新泻大学 计算生物学理学硕士
2003 - 2006年：日本新泻大学 计算生物学理学博士
2006 - 2018年：哈尔滨医科大学 教授
2018年 -至今： amjs澳金沙门欢迎您 教授
研究方向和领域
生物信息学
Bioinformatics
计算表观遗传学
Computational Epigenetics
肿瘤信息学
Tumor Informatics
研究内容
研究内容涉及到临床医学数据、肿瘤生物学、发育生物学等领域的数据分析及技术平台开发。目前的科研领域包括三个部分，开发生物医学领域的数据库、高通量数据分析和建模、应用工具以及后功能基因组层面的生命过程及疾病相关的生物标记物挖掘，在精准医学时代为研究不同生理病理条件的潜在机制提供靶标。
Research Interests
The research involves data analysis and technology platform development in clinical medicine, tumor biology, developmental biology and other fields. The current research interests includes the development of biomedical databases, high-throughput data analysis and modeling, application tools, and the mining of life processes and disease-related biomarkers at the post-functional genome level. It provides targets for studying the potential mechanisms of different physiological and pathological conditions for precision medicine.
研究成果
1. SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive. Chen C, Zhou D, Gu Y, Wang C, Zhang M, Lin X, Xing J, Wang H, Zhang Y(通讯作者). Nucleic Acids Res. 2020 Jan 8;48(D1):D198-D203.
2. Feature article: The signature of pharmaceutical sensitivity based on ctDNA mutation in eleven cancers. Zhang S, Su M, Sun Z, Lu H, Zhang Y (通讯作者). Exp Biol Med (Maywood). 2020 Apr;245(8):720-732.
3. Prediction of circRNAs Based on the DNA Methylation-Mediated Feature Sponge Function in Breast Cancer. Gu Y, Ci C, Zhang X, Su M, Lv W, Chen C, Liu H, Zhang D, Zhang S, Zhang Y(通讯作者). Front Bioeng Biotechnol. 2019 Nov 26;7:365.
4. An analysis about heterogeneity among cancers based on the DNA methylation patterns. Liu Y, Gu Y, Su M, Liu H, Zhang S, Zhang Y(通讯作者). BMC Cancer. 2019 Dec 30;19(1):1259.
5. Development of a method for identifying and functionally analyzing allele-specific DNA methylation based on BS-seq data. Zhu J, Su M, Gu Y, Zhang X, Lv W, Zhang S, Sun Z, Lu H, Zhang Y(通讯作者). Epigenomics. 2019 Nov 1;11(15):1679-1692.
6. Specific breast cancer prognosis-subtype distinctions based on DNA methylation patterns. ZhangS, Wang Y, Gu Y, Zhu J, Ci C, Guo Z, Chen C, Wei Y, Lv W, Liu H, Zhang D, Zhang Y(通讯作者). MolOncol. 2018 Jun; 12(7):1047-1060.
7. Exploration of drug-response mechanism by integrating genetics and epigenetics across cancers. Lv W, Zhang M, Zhu J, Zhang M, Ci C, Shang S, Wei Y, Liu H, Li X, Zhang Y(通讯作者). Epigenomics. 2018 Jul;10(7):993-1010.
8. DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database. Xiong Y, Wei Y, Gu Y, Zhang S, Lyu J, Zhang B, Chen C, Zhu J, Wang Y, Liu H, ZhangY(通讯作者). Nucleic Acids Research. 2017 Jan 4;45(D1):D888-D895
9. Cell subpopulation deconvolution reveals breast cancer heterogeneity based on DNA methylationsignature. Wen Y, Wei Y, Zhang S, Li S, Liu H, Wang F, Zhao Y, Zhang D, Zhang Y(通讯作者).Brief Bioinform. 2017;1;18(3):426-440
10. DNA methylation dynamics: identification and functional annotation. Liu H, Li S, Wang X, Zhu J, Wei Y, Wang Y, Wen Y, Wang L, Huang Y, Zhang B, Shang S, Zhang Y(通讯作者). Brief Funct Genomics. 2016 Nov;15(6):470-484.
11. The identification of age-associated cancer markers by an integrative analysis of dynamic DNA methylation changes. Wang Y, Zhang J, Xiao X, Liu H, Wang F, Li S, Wen Y, Wei Y, Su J, Zhang Y, Zhang Y(通讯作者). Sci Rep. 2016 Mar 7;6:22723
12. SEA: a comprehensive SuperEnhancer Archive. Wei Y, Zhang S, Shang S, Zhang B, Wang X, Li S, Liu H, Zhang Y(通讯作者).Nucleic Acids Research. 2016 Jan 4;44(D1):D172-9.
13. Systematic identificationand annotation of human methylation marks based on bisulfite sequencing methylomes revealsdistinct roles of cell-type-specific hypomethylation in regulation of cell identify genes. Liu H, Liu X, Zhang S, Lv J, Li S, Shang S, Jia S, Wei Y, Wang F, Su J , Zhang Y(通讯作者): Nucleic Acids Research. 2016 Jan 8;44(1):75-94.
14. CellMethy: Identification of a focal concordantly methylated pattern of CpGs revealed wide differences between normal and cancer tissues.Wang F, Zhang S, Liu H, Wei Y, Wang Y, Han X, Su J, Zhang D, Xie B, Zhang Y(通讯作者). Sci Rep. 2015 Dec 10;5:18037.
15. Chromatin modifications and genomic contexts linked to dynamic DNA methylation patterns across human cell types.Yan H, Zhang D, Liu H, Wei Y, Lv J, Wang F, Zhang C, Wu Q, Su J, Zhang Y(通讯作者).Sci Rep. 2015 Feb 12;5:8410
16. MetaImprint: an information repository of mammalian imprinted genes.Wei Y, Su J, Liu H, Lv J, Wang F, Yan H, Wen Y, Liu H, Wu Q, Zhang Y(通讯作者).Development. 2014 Jun;141(12):2516-23.
17. Revealing the architecture of genetic and epigenetic regulation: a maximum likelihood model. Wang F, Zhang S, Wen Y, Wei Y, Yan H, Liu H, Su J, Zhang Y(通讯作者), Che J. Brief Bioinform. 2014 Nov;15(6):1028-43.
18. CpG_MPs: identification of CpG methylation patterns of genomic regions from highthroughput bisulfite sequencing data.Su J, Yan H, Wei Y, Liu H, Liu H, Wang F, Lv J, Wu Q, Zhang Y(通讯作者).Nucleic Acids Res. 2013 Jan 7;41(1):e4.
19. DiseaseMeth: a human disease methylation database.Lv J, Liu H, Su J, Wu X, Liu H, Li B, Xiao X, Wang F, Wu Q, Zhang Y(通讯作者).Nucleic Acids Res. 2012 Jan;40(Database issue):D1030-5. *20) QDMR: a quantitative method for identification of differentially methylated regions by entropy.Zhang Y(第一作者，通讯作者), Liu H, Lv J, Xiao X, Zhu J, Liu X, Su J, Li X, Wu Q, Wang F, Cui Y. Nucleic Acids Res. 2011 May;39(9):e58.
21. HHMD: the human histone modification database.Zhang Y(第一作者，通讯作者), Lv J, Liu H, Zhu J, Su J, Wu Q, Qi Y, Wang F, Li X.Nucleic Acids Res. 2010 Jan;38(Database issue):D149-54.
22. CpG_MI: a novel approach for identifying functional CpG islands in mammalian genomes. Su J, Zhang Y(通讯作者), Lv J, Liu H, Tang X, Wang F, Qi Y, Feng Y, Li X.Nucleic Acids Res. 2010 Jan;38(1):e6.
开设的课程
计算生物学
Computational Biology
生物数学基础与应用
Fundamentals and Aapplications of Biomathematics
了解生物医学大数据
Understanding the Big Biomedical Data
生物数据挖掘技术
Mining of Bioinformation
工程伦理
Engineering Ethics
教师个人主页链接
http://homepage.hit.edu.cn/zhangtyo
