导师姓名：张艳菊
性别：
人气指数：282

所属院校：桂林电子科技大学
所属院系：计算机与信息安全学院
职称：研究员
导师类型：硕导
招生专业：计算机科学与技术（学术型）、计算机技术（专业学位）
研究领域： 生物信息、数据挖掘、机器学习、高效算法软件的研发
研究领域： 生物信息、数据挖掘、机器学习、高效算法软件的研发 [收起]




通讯方式 :
电子邮件：yanjuzhang@guet.edu.cn


个人简述 :
张艳菊，博士，研究员。2003-2005年在德国德累斯顿工业大学取得分子生物工程硕士学位；2006-2011年在荷兰莱顿大学高级计算机学院图像和生物信息组获得博士学位；之后在莱顿大学医学中心从事博士后以及研究员的工作，主要研究方向为生物信息学。以第一完成人或主要参与者的身份完成了多项荷兰国家级科研项目。涉及的研究方向有微小RNA靶点的预测、高通量测序技术算法的开发、基于基因芯片的基因表达分析以及DNA甲基化数据的分析等。2015年作为海外高层次引进人才就职于桂林电子科技大学计算机科学与工程学院。?在国际著名期刊发表多篇论文，其中以第一作者发表了6篇科研论文，其中最高影响因子为5.3；以合作作者发表了5篇论文，最高影响因子为10.7。于2010年获得欧洲科学基金“功能基因组学研究前沿(FFG)”的奖励。2015年广西壮族自治区“百人计划”海外高层次引进人才。2016年获得正高级研究员职称。?领导独立科研课题小组，实验室面积40m2，目前主持自治区项目一项，并指导研究生2名。

科研工作 :
[1]??Shengtao Xu,Guangyu Wang,Yan Lin,Yanju Zhang,Lingling Pei,Hong Yao,Mei Hu,Yangyi Qiu,Zhangjian Huang,Yihua Zhang,Jinyi Xu.?Novel anticancer oridonin derivatives possessing a diazen-1-ium-1,2-diolate nitric oxide donor moiety: Design, synthesis, biological evaluation and nitric oxide release studies.??Bioorganic & Medicinal Chemistry Letters, doi: 10.1016/j.bmcl.2016.04.068[2]??Tobi EW, Goeman JJ, Monajemi R, Gu H, Putter H, Zhang Y, Slieker RC, Stok AP, Thijssen PE, Müller F, van Zwet EW, Bock C, Meissner A, Lumey LH, Eline Slagboom P, Heijmans BT.?DNA methylation signatures link prenatal famine exposure to growth and metabolism.??Nat Commun. 2014 Nov 265:5592. doi: 10.1038/ncomms6592.[3]??Kai Ye, Marian Beekman, Eric-Wubbo Lameijer, Yanju Zhang, Matthijs H. Moed, Erik B. van den Akker, Joris Deelen, Jeanine J. Houwing-Duistermaat, Dennis Kremer, Seyed Yahya Anvar, Jeroen F. J. Laros, David Jones, Keiran Raine, Ben Blackburne, Shobha Potluri, Quan Long, Victor Guryev, Ruud van der Breggen, Rudi G. J. Westendorp, Peter A. C. ‘t Hoen, Johan den Dunnen, Gert Jan B. van Ommen, Gonneke Willemsen, Steven J. Pitts, David R. Cox, Zemin Ning, Dorret I. Boomsma, and P. Eline Slagboom.?Aging as Accelerated Accumulation of Somatic Variants: Whole-Genome Sequencing of Centenarian and Middle-Aged Monozygotic Twin Pairs.??Twin Research and Human Genetics. Vol. 16, No. 6. (December 2013), pp. 1026-1032, doi:10.1017/thg.2013.73.[4]??Roderick C Slieker, Steffan D Bos, Jelle J Goeman, Judith VMG Bovée, Rudolf P Talens, Ruud van der Breggen, H Eka D Suchiman, Eric-Wubbo Lameijer, Hein Putter, Erik B van den Akker, Yanju Zhang, J Wouter Jukema, P Eline Slagboom, Ingrid Meulenbelt, and Bastiaan T Heijmans.?Identification and systematic annotation of tissue-specific differentially methylated regions using the Illumina 450k array.?Epigenetics & Chromatin, 2013, 6:26.[5]??Yanju Zhang, Eric-Wubbo Lameijer, Peter A. C. 't Hoen, Zemin Ning, P. Eline Slagboom, Kai Ye.?PASSion: a pattern growth algorithm-based pipeline for splice junction detection in paired-end RNA-Seq data.??Bioinformatics 28(4): 479-486 (2012).[6]??Yanju Zhang, Elia Stupka, Christiaan V. Henkel, Hans J. Jansen, Herman P. Spaink and Fons J. Verbeek.?Identi cation of Common Carp Innate Immune Genes with Whole-Genome Sequencing and RNA-Seq Data.??Journal of Integrative Bioinformatics, 8(2):169, 2011. Online Journal: http://journal.imbio.de/index.php paper id=169.[7]??Yanju Zhang and Fons J. Verbeek.?Comparison and Integration of Target Prediction Algorithms for microRNA Studies.??Journal of Integrative Bioinformatics, 7(3):127, 2010. Online Journal: http://journal.imbio.de/index.php paper id=127.[8]??Yanju Zhang, Jeroen S. de Bruin and Fons J. Verbeek.?Speci city Enhancement in microRNA Target Prediction through Knowledge Discovery.??Zhang, Jeroen S. de Bruin and Fons J. Verbeek. Speci city Enhancement in microRNA Target Prediction through Knowledge Discovery. Chapter 20 In: Machine Learning, Eds. Yagang Zhang, ISBN: 978-953-307-033-9, INTECH, February 2010.[9]??Yanju Zhang, Jeroen S. de Bruin, Fons J. Verbeek.?miRNA target prediction through mining of miRNA relationships.??Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering. ISBN: 978-1-4244-2844-1, 1-6, 2008.[10]??Yanju Zhang, Joost M. Woltering, Fons J. Verbeek..?Screen of microRNA targets in zebra sh using heterogeneous data sources: a case study for dre-miR-10 and dre-miR-196.??International Journal of Mathematical, Physical and Engineering Sciences, Vol. 2 (1), 10-17, 2007.[11]??Gihan Dawelbait, Christof Winter, Yanju Zhang, Chrisitian Pilarky, Robert Grtz-mann, Jrg-Chrisitan Heinrich and Michael Schroeder.?Structural templates predict novel protein interactions and targets from pancreas tumour gene expression data.??Bioinformatics, 23:i115–24, 2007.