聯(lián)系方式   

郵箱：zhangtyo@hit.edu.cn

個(gè)人簡(jiǎn)介

1987 - 1992年：哈爾濱醫科大學(xué) 臨床醫學(xué)學(xué)士

2001 - 2003年：日本新瀉大學(xué) 計算生物學(xué)理學(xué)碩士

2003 - 2006年：日本新瀉大學(xué) 計算生物學(xué)理學(xué)博士

2006 - 2018年：哈爾濱醫科大學(xué) 教授

2018年 -至今： 哈爾濱工業(yè)大學(xué) 教授

研究方向和領(lǐng)域

生物信息學(xué)

Bioinformatics

計算表觀(guān)遺傳學(xué)

Computational Epigenetics

腫瘤信息學(xué)

Tumor Informatics

研究?jì)热?/span>

研究?jì)热萆婕暗脚R床醫學(xué)數據、腫瘤生物學(xué)、發(fā)育生物學(xué)等領(lǐng)域的數據分析及技術(shù)平臺開(kāi)發(fā)。目前的科研領(lǐng)域包括三個(gè)部分，開(kāi)發(fā)生物醫學(xué)領(lǐng)域的數據庫、高通量數據分析和建模、應用工具以及后功能基因組層面的生命過(guò)程及疾病相關(guān)的生物標記物挖掘，在精準醫學(xué)時(shí)代為研究不同生理病理條件的潛在機制提供靶標。

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(通訊作者). 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 (通訊作者). 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(通訊作者). 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(通訊作者). 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(通訊作者). 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(通訊作者). 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(通訊作者). 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(通訊作者). 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(通訊作者).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(通訊作者). 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(通訊作者). 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(通訊作者).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(通訊作者): 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(通訊作者). 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(通訊作者).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(通訊作者).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(通訊作者), 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(通訊作者).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(通訊作者).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，通訊作者), 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，通訊作者), 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(通訊作者), Lv J, Liu H, Tang X, Wang F, Qi Y, Feng Y, Li X.Nucleic Acids Res. 2010 Jan;38(1):e6.

開(kāi)設的課程

計算生物學(xué)

Computational Biology

生物數學(xué)基礎與應用

Fundamentals and Aapplications of Biomathematics

了解生物醫學(xué)大數據

Understanding the Big Biomedical Data

生物數據挖掘技術(shù)

Mining of Bioinformation

工程倫理

Engineering Ethics

教師個(gè)人主頁(yè)鏈接

http://homepage.hit.edu.cn/zhangtyo