导师姓名：姚玉华
性别：男
人气指数：564

所属院校：浙江理工大学
所属院系：生命科学学院
职称：教授
导师类型：
招生专业：生物学
研究领域： 生物信息学应用数学
研究领域： 生物信息学应用数学 [收起]




通讯方式 :
办公电话：**
通讯地址：浙江省杭州市下沙高教园区二号大街


个人简述 :
姚玉华，1973年3月生，博士，教授，浙江省生物信息学学会理事，中国计算系统生物学学会会员。2001年9月入读大连理工大学应用数学系硕士，研究方向是生物数学（常微分方程数值解及其应用），2003年9月直读博士，开始转入计算生物学、生物信息学领域，研究方向是信息获取及模型构建。2006年6月毕业获理学博士学位，进入浙江理工大学生命科学学院工作，为生物信息学研究组负责人。在计算生物信息学和生物数学领域发表论文50余篇，其中被SCI检索40篇。目前主持国家自然科学基金一项。参与完成国家自然科学基金一项，主持完成浙江省自然科学基金项目两项，参与浙江省自然科学基金四项。主持的系列论文《数学方法在生物序列分析中的应用》获2009年浙江省高等学校科研成果二等奖。


科研工作 :
获奖与荣誉：

1. 姚玉华,贺平安,南旭莹,聂作明.数学方法在生物序列分析中的应用.浙江省高校科研成果奖二等奖。(2009年,系列论文)

2. 姚玉华.论文“Analysis of Similarity/Dissimilarity of Protein Sequences”获“十一五”浙江省自然科学基金优秀论文奖。（2012年）

3. 王天明，廖波，姚玉华，白凤兰，刘立伟.生物序列的数学刻画与应用.辽宁省科学技术奖励自然科学奖三等奖。(2012年)
发表论文：
1. Jing Chen, Huimin Xu, Ping-an He, Qi Dai, Yuhua Yao. A multiple information fusion method for predicting subcellular locations of two different types of bacterial protein simultaneously, BioSystems, 2016, 139: 37–45.

2. Yuhua Yao, Huimin Xu, Ping-an He, Qi Dai. Recent Advances on Prediction of Protein Subcellular Localization. Mini-Reviews in Organic Chemistry, 2015, 12, 481-492.

3. Hong Yang, Hui-min Xu, Fen Kong, Qi Dai, Ping-an He, Yu-hua Yao. A New Method for the Similarity Analysis of Proteins. Journal of Computational and Theoretical Nanoscience, 2015, 12(11): 4377-4382.

4. Huimin Xu, Shoujiang Yan, Qi Dai, Ping-An He, Bo Liao, Yu-Hua Yao. Protein Subcellular Location Prediction Based on Pseudo Amino Acid Composition and PSI-Blast Profile. Journal of Computational and Theoretical Nanoscience, 2015, 12(10): 3756-3762.

5. Jiajia Cao, Chenkui Kuang, Xiaoqing Liu, Yuhua Yao, Pingan He, Qi Dai. A New Prediction Strategy for Protein Structural Classes Using Protein Sequence-Structure Features. Journal of Computational and Theoretical Nanoscience, 2015, 12(10): 3023-3027.

6. 杨红, 徐慧敏, 严寿江, 耿丽丽, 姚玉华. 基于氨基酸约化和统计特征的蛋白质亚细胞定位预测. 生物信息学, 2015, 13(2): 103-110.

7.Cong Wang,Yabing Hai,Xiaoqing Liu,Nanfang Liu,Yuhua Yao,Pingan He,Qi Dai. Prediction of High-Risk Types of Human Papillomaviruses Using Statistical Model of Protein “Sequence Space”. Computational and Mathematical Methods in Medicine, 2015, 756345, http://dx.doi.org/10.1155/2015/756345.

8. Xiaoqing Liu, Xiaohua Yang, Cong Wang, Yuhua Yao, Qi Dai. Numberofdistinctsequencealignmentswithk-matchandmatchsections. Computers in Biology and Medicine, 2015, 63: 287-292.

9. Chenkui Kuang, Xiaoqing Liu, Junru Wang, Yuhua Yao, Qi Dai. Position-Specific Statistical Model of DNA Sequences and Its Application for Similarity Analysis. MATCH Communications in Mathematical and in Computer Chemistry, 2015, 73: 545-558

10. Junru Wang, Cong Wang, Jiajia Cao, Xiaoqing Liu, Yuhua Yao, Qi Dai. Prediction of protein structural classes for low-similarity sequences using reduced PSSM and position-based secondary structural features. Gene, 2015, 554: 241-248.

11. Yuhua Yao, Shoujiang Yan, Jianning Han, Qi Dai, Ping-an He. A novel descriptor of protein sequences and its application. Journal of Theoretical Biology, 2014, 347: 109-117. (SCI)

12. Yuhua Yao, Shoujiang Yan, Huimin Xu, Jianning Han, Xuying Nan, Ping-an He and Qi Dai. Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical Representation. Evolutionary Bioinformatics, 2014, 10: 87-96. (SCI)

13. Yu-Hua Yao, Zhuo-Xing Shi, Qi Dai. Apoptosis Protein Subcellular Location Prediction Based on Position-Specific Scoring Matrix. Journal of Computational and Theoretical Nanoscience, 2014, 10: 2073-2078. (SCI)

14. Shuyan Ding, Shoujiang Yan, Shuhua Qi, Yan Li, Yuhua Yao. A protein structural classes prediction method based on PSI-BLAST profile. Journal of Theoretical Biology, 2014, 353: 19-23.

15. Zhong Li, Changchun Geng, Pingan He, Yuhua Yao. A Novel Method of 3D Graphical Representation and Similarity Analysis for Proteins. MATCH Communications in Mathematical and in Computer Chemistry, 2014, 71: 213-226.

16. Tingting Ma, Yuxin Liu, Qi Dai, Yuhua Yao, Ping-an He. A graphical representation of protein based on a novel iterated function system. PhysicaA, 2014, 402: 1-7.

17. Junru Wang,Yan Li,Xiaoqing Liu,Qi Dai,Yuhua Yao,Pingan He,High-accuracy prediction of protein structural classes using PseAA structural properties and secondary structural patterns,Biochimie,2014,101,104.

18. Yusheng Bai, Tingting Ma, Yuhua Yao, Qi Dai, Ping-an He. Phylogenetic Analysis of H7N9 Avian Influenza Virus Based on a Novel Mathematical Descriptor. BioMed Research International, 2014, 519787. doi.org/10.1155/2014/519787

19. Yu-hua Yao, Fen Kong, Qi Dai, Ping-an He. A Sequence-Segmented Method Applied to the Similarity Analysis of Long Protein Sequence. MATCH Communications in Mathematical and in Computer Chemistry, 2013, 70(1): 431-450.

20. Qi Dai, Yan Li, Xiaoqing Liu,Yuhua Yao, Yunjie Cao and Pingan He. Comparison study on statistical features of predicted secondary structures for protein structural class prediction: From content to position. BMC Bioinformatics2013,14: 152

21. Zhuo-Xing Shi, Qi Dai, Ping-an He, Yu-hua Yao, Bo Liao. Subcellular localization predictionofapoptosis proteins basedon the dataminingfor amino acid index database. 2013 IEEE 7th International Conference on Systems Biology (ISB), 43-48.

22. Yu, Wei Li, Qing Yao, Yuhua Quan, Yanping Zhang, Yaozhou. Two Novel 30K Proteins Overexpressed in Baculovirus System and Their Antiapoptotic Effect in Insect and Mammalian Cells. International journal of genomics, 2013: 323592. doi: 10.1155/2013/323592.

23. Dai, Qi Yan, Zhaofang Shi, Zhuoxing Liu, Xiaoqing Yao, Yuhua He, Pingan. Study of LZ-word distribution and its application for sequence comparison. Journal of theoretical biology, 2013, 336: 52-60.

24. Nie, Zuoming Zhou, Fang Li, Dan Lv, Zhengbing Chen, Jian Liu, Yue Shu, Jianhong Sheng, Qing Yu, Wei Zhang, Wenping Jiang, Caiying Yao, Yuhua Yao, Juming Jin, Yongfeng Zhang, Yaozhou. RIP-seq of BmAgo2-associated small RNAs reveal various types of small non-coding RNAs in the silkworm, Bombyx mori. BMC Genomics, 2013, 14(1): 661.

25. Fen Kong, Xu-ying Nan, Ping-an He, Qi Dai, Yu-hua Yao. A Sequence-Segmented Method Applied to the Similarity Analysis of Proteins. 2012 IEEE 6th International Conference on Systems Biology (ISB), 321-326.

26. Ling Li, Fen Kong, Jilin Huang, Xuying Nan, Yuhua Yao. A 3-D Graphical Method Applied to The Similarities of Protein Sequences. 2012 Spring Congress on Engineering and Technology (S-CET), 1-4.

27. Ping-an He, Jin-zhou Wei, Yu-hua Yao, Zhi-xin Tie. A novel graphical representation of proteins and its application. Physica A, 2012, 391: 93–99.

28. Qi Dai, Xiaoqing Liu, Yuhua Yao, Fukun Zhao. Using Markov model to improve word normalization algorithm for biological sequence comparison. Amino Acids, 2012, DOI 10.1007/s00726-011-0906-2.

29. Qi Dai, Lihua Li, Xiaoqing Liu, Yuhua Yao, Fukun Zhao, Michael Zhang. Integrating Overlapping Structures and Background Information of Words Significantly Improves Biological Sequence Comparison. PLoS ONE, 2011. 6(11): e26779.

30. Qi Dai, Xiao-qing Liu, Yu-hua Yao, Fu-kun Zhao.Numerical characteristics of word frequencies and their application to dissimilarity measure for sequence comparison. Journal of Theoretical Biology, 2011, 276(1): 174–180.

31. Yu-hua Yao, Qi Dai, Ling Li, Xu-ying Nan, Ping-an He, Yao-zhou Zhang. Similarity/Dissimilarity Studies of Protein Sequences Based on a New 2-D Graphical Representation. Journal of Computational Chemistry, 2010, 31(5): 1045–1052.

32. Qi Dai, Xiao-qing Liu, Li-hua Li, Yu-hua Yao, Bin Han, Lei Zhu.Using Gaussian model to improve biological sequence comparison.Journal of Computational Chemistry, 2010, 31(2): 351–361.

33. Ping-an He, Yan-ping Zhang, Yu-hua Yao, Yi-fa Tang. The Graphical Representation of Protein Sequences Based on the Physicochemical Properties and its Applications. Journal of Computational Chemistry, 2010, 31(11): 2136–2142.

34. Yu-hua Yao, Qi Dai, Chun Li, Ping-an He, Yao-zhou Zhang. Analysis of Similarity/Dissimilarity of Protein Sequences. PROTEINS: Structure, Function, and Bioinformatics, 2008, 73(4): 864–871.

35. Yu-hua Yao, Qi Dai, Xu-ying Nan, Ping-an He, Zuo-ming Nie, Song-ping Zhou, Yao-zhou Zhang. Analysis of similarity/dissimilarity of DNA sequences based on a class of 2D graphical representation. Journal of Computational Chemistry, 2008, 29(10): 1632–1639.

36. Qiang Guo, Jian-guo Liu, Bing-hong Wang, Tao Zhou, Xing-wen Chen, Yu-hua Yao. Opinion Spreading With Mobility on Scale-Free Networks. Chinese Physics Letters, 2008, 25(2): 773–775.

37. Qiang Guo, Jian-guo Liu, Bing-hong Wang, Tao Zhou, Xing-wen Chen, Yu-hua Yao. Improvement of Synchronizability of Scale-Free Networks. Chinese Physics Letters, 2007, 24(8): 2437–2440.

38. Yu-hua Yao, Ying-zhao Liu, Tian-ming Wang. Reply to comment on Chem. Phys. Lett. 411 (2005) 248. Chemical Physics Letters, 2006, 424(4-6): 456–457.

39. Yu-hua Yao, Xu-ying Nan, Tian-ming Wang. A new 2D graphical representation -Classification curve and the analysis of similarity/dissimilarity of DNA sequences, Journal of Molecular Structure: THEOCHEM, 2006, 764(1-3): 101–108.

40. Yu-hua Yao, Xu-ying Nan, Tian-ming Wang. Analysis of similarity/dissimilarity of DNA sequences based on a 3-D graphical representation. Chemical Physics Letters, 2005, 411(1-3): 248–255.

41. Yu-hua Yao, Xu-ying Nan, Tian-ming Wang. A class of 2-D graphical representations of RNA secondary structure and the analysis of similarity based on them. Journal of Computational Chemistry, 2005, 26(13): 1339–1346.

42. Yu-hua Yao, Bo Liao, Tian-ming Wang. A 2D graphical representation of RNA secondary structures and the analysis of similarity/dissimilarity based on it. Journal of Molecular Structure: THEOCHEM, 2005, 755(1-3): 131–136.

43. Yu-hua Yao, Tian-ming Wang. A class of new 2D graphical representation of DNA sequence and their application. Chemical Physics Letters, 2004, 398: 318–323.
主持科研项目：

1. 基于多源信息融合的蛋白质亚细胞定位预测算法研究，国家自然科学基金面上项目，（80万，项目编号：**） 2013.01至2016.12

2. 肿瘤蛋白质组信息分析模型及应用算法研究，浙江省自然科学基金一般项目，（8万，项目编号：LY12F02043） 2012.01至2013.12

3. 浙江理工大学521中青年拔尖人才培养计划，（20万）2015.01至2018.12
所带生物信息学研究团队获得浙江理工大学2013年度研究生优良学风团队称号。近三年指导的硕士研究生所获荣誉：

? 孔 芬，2013届毕业生，校优秀硕士学位论文；

? 韩建宁，2013届毕业生，国家数学建模竞赛三等奖；

? 石卓兴，2014届毕业生，校优秀硕士学位论文，校“挑战杯”大学生创业计划竞赛三等奖，国家研究生奖学金；

? 严寿江，2015届研究生，校优秀硕士学位论文，浙江理工大学第四届研究生“学术之星”，国家研究生奖学金；

? 陈 静，2016届研究生，校优秀硕士学位论文；

? 徐慧敏，2016届研究生，主持2014年浙江省新苗人才项目，省优秀毕业生，国家研究生奖学金。