English Version


  • 邹权,电子科技大学基础与前沿研究院教授,博士研究生导师,IEEE高级会员,ACM高级会员。
  • 招收博士后(35岁以下)、访问学生(需导师同意)以及2019级硕士研究生,待遇十分优厚。感兴趣的同学欢迎邮件联系,署名邮件必回复
  • 我对研究生的要求
  • 本课题组研究生毕业论文要求


  • 研究方向:

  • 利用Hadoop或CUDA解决生物信息学问题
    • 多序列比对和进化树构建 (HAlign)
    • motif和network motif
    • 生物序列聚类与去冗余
  • microRNA及其他ncRNA的挖掘、疾病关系预测及相关计算问题
  • 利用机器学习方法解决各种蛋白质分类问题
    • 生物序列分类
    • 特殊蛋白质的识别
    • 集成分类(libD3C)、降维(MRMD2.0)、核融合等机器学习问题与应用
  • 作物产量性状基因预测

  • 主持项目:


    国家自然科学基金优秀青年基金    生物信息处理与分析
    国家自然科学基金面上项目    利用多序列比对指导16s rRNA的OTU聚类
    国家自然科学基金面上项目    基于MapReduce的非编码RNA“从头预测”识别方法研究 (已结题)
    国家自然科学基金青年基金    基于投票机制的非编码RNA“从头预测”识别方法研究 (已结题)
    福建省自然科学基金面上项目    转录组数据中的microRNA和SNP挖掘方法研究 (已结题)

    学术兼职:

  • Editor-in-Chief of Current Bioinformatics
  • Associate Editor of IEEE Access
  • Editorial Board Member of Computers in Biology and Medicine, Computational Biology and Chemistry, Scientific Report, Interdisciplinary Sciences--Computational Life Sciences, Genes

  • 出版著作:


  • Jon Galloway, Phil Haack, Brad Wilson等著. 孙远帅, 邹权译. ASP.NET MVC 4高级编程(第4版).清华大学出版社. 2013.8 ISBN:9787302330035
  • 系统生物学的网络分析方法. 邹权, 陈启安, 曾湘祥, 刘向荣 编著. 西安电子科技大学出版社. 2015.6. ISBN:9787560635385
  • Quan Zou (Ed.) Special Protein Molecules Computational Identification. MDPI. St. Alban-Anlage 66. Basel, Switzerland. ISBN: 9783038970439 (Pbk) 9783038970446 (PDF) doi:10.3390/books978-3-03897-044-6
  • Xiangxiang Zeng, Alfonso Rodríguez-Patón and Quan Zou (Eds.) Molecular Computing and Bioinformatics. MDPI. St. Alban-Anlage 66. Basel, Switzerland. ISBN 978-3-03921-195-1 (Pbk) ISBN 978-3-03921-196-8 (PDF) doi:10.3390/books978-3-03921-196-8

  • 特约报告:
  • 生物信息学中的不确定性和分类问题. CRSSC-CWI-CGrC2014青年学者论坛. 2014.8.7. 昆明. PPT
  • Machine learning and computational problems in genome-wide association study. CAAI机器学习专委会首届青年学者交流会. 2014.8.15. 南昌 PPT
  • Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via with Hadoop. The 9th International Conference on Systems Biology (ISB 2015). 2015.8.21. 洛阳 PPT
  • Computational prediction of miRNA and miRNA-disease relationship. 2015 Asian Conference on Membrane Computing (ACMC2015). 2015.11.14. 合肥 PPT
  • DNA多序列比对中的算法技术和并行方法. 2016大数据与精准生物医学信息学研讨会. 2016.3.26. 上海. PPT
  • LibD3C: an imbalanced ensemble classifier without any parameter tuning. 第二届生物信息学与药物设计研讨会. 2016.7.30. 重庆 PPT
  • Hierarchical learning and high dimensionality problems in bioinformatics. 中国人工智能学会机器学习专委会青年学者论坛. 2017.9.8. 西安 PPT
  • 基因序列的比对、挖掘和功能分析. 第二届中国计算机学会生物信息学会议. 2017.10.14. 长沙. PPT

  • 代表论文:(*Corresponding author)

    1. Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou*. A comprehensive overview and evaluation of circular RNA detection tools. PLoS Computational Biology. 2017,13(6): e1005420 (SCI, IF2017=3.955, PMID: 28594838) (data and codes)(BibTeX, EndNote)
    2. Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou*. Details in the evaluation of circular RNA detection tools: Reply to Chen and Chuang. PLoS Computational Biology. 2019, 15(4): e1006916 (SCI, IF2017=3.955, PMID: 31022173)
    3. Quan Zou*, Pengwei Xing, Leyi Wei, Bin Liu*. Gene2vec: Gene Subsequence Embedding for Prediction of Mammalian N6‐Methyladenosine Sites from mRNA. RNA. 2019, 25(2): 205-218 (SCI, IF2017=4.490, PMID: 30425123) (web server)(BibTeX, EndNote)

    4. Quan Zou*, Qinghua Hu, Maozu Guo, Guohua Wang*. HAlign: Fast Multiple Similar DNA/RNA Sequence Alignment Based on the Centre Star Strategy. Bioinformatics. 2015,31(15): 2475-2481. (SCI, IF2017=5.481, PMID: 25812743) (Software)(该软件被OMICTOOLS推荐)(BibTeX, EndNote)
    5. Leyi Wei*, Chen Zhou, Ran Su*, Quan Zou*. PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. Bioinformatics. Doi: 10.1093/bioinformatics/btz246. (SCI, IF2017=5.481, PMID:30994882) (web server)
    6. Wei Tang, Shixiang Wan, Zhen Yang, Andrew E. Teschendorff*, Quan Zou*. Tumor Origin Detection with Tissue-Specific miRNA and DNA methylation Markers. Bioinformatics. 2018, 34(3): 398-406. (SCI, IF2017=5.481, PMID:29028927) (web server) High impact research from Bioinformatics (BibTeX, EndNote)
    7. Leyi Wei, Shasha Luan, Luis Eijy Nagai, Ran Su*, Quan Zou*. Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinformatics. 2019, 35(8): 1326-1333. (SCI, IF2017=5.481, PMID: 30239627)(web server)
    8. Cangzhi Jia*, Yun Zuo, Quan Zou*. O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique. Bioinformatics. 2018, 34(12): 2029-2036. (SCI, IF2017=5.481, PMID:29420699)(web server)(该软件被OMICTOOLS推荐)(BibTeX, EndNote)
    9. Xiangxiang Zeng, Li Liu, Linyuan Lu*, Quan Zou*. Prediction of potential disease-associated microRNAs using structural perturbation method. Bioinformatics. 2018, 34(14): 2425-2432.(SCI, IF2017=5.481, PMID:29490018)(codes)(BibTeX, EndNote)
    10. Wenying He, Cangzhi Jia*, Quan Zou*. 4mCPred: Machine Learning Methods for DNA N4-methylcytosine sites Prediction. Bioinformatics. 2019, 35(4): 593-601 (SCI, IF2017=5.481, PMID: 30052767)(web server)(该软件被OMICTOOLS推荐)
    11. Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou*, Xiaolong Shi*. Iterative feature representations improve the N4-methylcytosine site prediction. Bioinformatics. DOI: 10.1093/bioinformatics/btz408. (SCI, IF2017=5.481, PMID:31099381)(web server)
    12. Jianbo Pan, Shichang Hu, Hao Wang, Quan Zou*, Zhiliang Ji*. PaGeFinder: Quantitative Identification of Spatiotemporal Pattern Genes. Bioinformatics. 2012, 28(11):1544-1545. (SCI, IF2017=5.481, PMID:22492640)(Web Server)(BibTeX, EndNote)

    13. Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng. Sequence clustering in bioinformatics: an empirical study. Briefings in Bioinformatics. Doi: 10.1093/bib/bby090 (SCI, IF2017=6.302, PMID: 30239587)(data)
    14. Quan Zou*, Xubin Li, Wenrui Jiang, Ziyu Lin, Guilin Li, Ke Chen. Survey of MapReduce Frame Operation in Bioinformatics. Briefings in Bioinformatics. 2014,15(4): 637-647. (SCI, IF2017=6.302, PMID: 23396756)(BibTeX, EndNote)
    15. Xiangxiang Zeng, Xuan Zhang, Quan Zou*. Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks. Briefings in Bioinformatics. 2016,17(2):193-203.(SCI, IF2017=6.302, PMID:26059461)(BibTeX, EndNote)
    16. Leyi Wei, Jie Hu, Fuyi Li, Jiangning Song*, Ran Su*, Quan Zou*. Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms. Briefings in Bioinformatics. Doi: 10.1093/bib/bby107. (SCI, IF2017=6.302, PMID:30383239)(web server)
    17. Bin Liu*, Shuangyan Jiang, Quan Zou*. HITS-PR-HHblits: Protein remote homology detection by combining pagerank and hyperlink-induced topic search. Briefings in Bioinformatics. Doi: 10.1093/bib/bby104.(SCI, IF2017=6.302, PMID:30403770)(web server)
    18. Xiangrong Liu, Zengyan Hong, Juan Liu, Yuan Lin, Alfonso Rodriguez-Paton, Quan Zou*, Xiangxiang Zeng*. Computational methods for identifying the critical nodes in biological networks. Briefings in Bioinformatics. Doi: 10.1093/bib/bbz011.(SCI, IF2017=6.302, PMID:30753282)
    19. Zijie Shen, Yuan Lin*, Quan Zou*. Transcription factors-DNA interactions in rice: identification and verification. Briefings in Bioinformatics. doi: 10.1093/bib/bbz045(SCI, IF2017=6.302, PMID:31091308)
    20. Ren Qi, Anjun Ma, Qin Ma*, Quan Zou*. Clustering and Classification Methods for Single-cell RNA-sequencing Data. Briefings in Bioinformatics. doi: 10.1093/bib/bbz062(SCI, IF2017=6.302, PMID:31271412)
    21. Yinan Shen, Yijie Ding, Jijun Tang, Quan Zou*, Fei Guo*. Critical evaluation of web-based prediction tools for human protein subcellular localization. Briefings in Bioinformatics. doi: 10.1093/bib/bbz106. (web server)
    22. Xiangxiang Zeng*, Yue Zhong, Wei Lin, Quan Zou*. Predicting Disease-associated Circular RNAs Using Deep Forests Combined with Positive-Unlabeled Learning Methods. Briefings in Bioinformatics. doi:10.1093/bib/bbz080.

    23. Leyi Wei, Pengwei Xing, Gaotao Shi, Zhiliang Ji*, Quan Zou*. Fast prediction of protein methylation sites using a sequence-based feature selection technique. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2019,16(4):1264-1273. (SCI, IF2015=1.609, PMID:28222000)(web server)(该软件被OMICTOOLS推荐)
    24. Xiangxiang Zeng, Yuanlu Liao, Yuansheng Liu, Quan Zou*. Prediction and validation of disease genes using HeteSim Scores. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2017, 14(3):687-695. (SCI, IF2017=2.428, PMID:26890920)(Codes and Data)(BibTeX, EndNote)
    25. Yuansheng Liu, Xiangxiang Zeng, Zengyou He*, Quan Zou*. Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2017, 14(4): 905-915.(Web Server)(SCI, IF2015=1.609, PMID:27076459)(BibTeX, EndNote)
    26. Leyi Wei, Minghong Liao, Yue Gao, Rongrong Ji, Zengyou He*, Quan Zou*. Improved and Promising Identification of Human MicroRNAs by Incorporating a High-quality Negative Set. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2014, 11(1):192-201 (SCI, IF2017=2.428, PMID: 24216114)(Software)(BibTeX, EndNote)
    27. Zengyou He*, Can Zhao, Hao Liang, Bo Xu, Quan Zou*. Protein Complexes Identification with Family-Wise Error Rate Control. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Doi: 10.1109/TCBB.2019.2912602. (SCI, IF2017=2.428, PMID:31027047)
    28. Quan Zou, Qi Liu. Advanced machine learning techniques for bioinformatics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2019,16(4):1182-1183(SCI, IF2017=2.428)
    29. Leyi Wei, Pengwei Xing, Jijun Tang, Quan Zou*. PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only. IEEE Transactions on NanoBioscience. 2017, 16(4): 240-247. (SCI, IF2017=2.158, PMID:28166503) (web server)(BibTeX, EndNote)
    30. Jing Jiang, Fei Xing, Xiangxiang Zeng*, Quan Zou*. Investigating maize yield-related genes in multiple omics interaction network data. IEEE Transactions on NanoBioscience. Doi: 10.1109/TNB.2019.2920419 (SCI, IF2017=2.158, PMID:31170079)

    31. Pei Li, Maozu Guo, Chunyu Wang, Xiaoyan Liu, Quan Zou*. An overview of SNP interactions in genome-wide association studies. Briefings in Functional Genomics. 2015, 14(2):143-155. (SCI, IF2017=3.783,PMID: 25241224)(BibTeX, EndNote)
    32. Quan Zou, Jinjin Li, Li Song, Xiangxiang Zeng, Guohua Wang. Similarity computation strategies in the microRNA-disease network: A Survey. Briefings in Functional Genomics. 2016, 15(1): 55-64. (SCI, IF2017=3.783,PMID: 26134276) most cited articles in this journal (BibTeX, EndNote)
    33. Wenying He, Leyi Wei, Quan Zou*. Research Progress in Protein Post-Translational Modification Site Prediction. Briefings in Functional Genomics. Doi: 10.1093/bfgp/ely039. (SCI, IF2017=3.783, PMID: 30576418)
    34. Zhiqiang Zhang, Yi Zhao, Xiangke Liao, Wenqiang Shi, Kenli Li, Quan Zou*, Shaoliang Peng*. Deep learning in omics: a survey and guideline. Briefings in Functional Genomics. 2019, 18(1): 41-57 (SCI, IF2017=3.783, PMID: 30265280)
    35. Linlin Yuan, Fei Guo, Lei Wang, Quan Zou*. Prediction of tumor metastasis from sequencing data in the era of genome sequencing. Briefings in Functional Genomics. Doi: 10.1093/bfgp/elz010 (SCI, IF2017=3.783, PMID: 31204784 )

    36. Leyi Wei, Jijun Tang, Quan Zou*. Local-DPP: An Improved DNA-binding Protein Prediction Method by Exploring Local Evolutionary Information. Information Sciences. 2017, 384:135-144. (SCI, IF2017=4.305)(web server)(BibTeX, EndNote)
    37. Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou*. Prediction of human protein subcellular localization using deep learning. Journal of Parallel and Distributed Computing. 2018, 117: 212-217 (SCI, IF2017=1.815) most cited articles in this journal (BibTeX, EndNote)
    38. Wenhe Su, Xiangke Liao, Yutong Lu, Quan Zou*, Shaoliang Peng*. Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework. Journal of Computational Biology. 2017, 24(12): 1230-1242 (SCI, IF2017=1.191, PMID: 29116822) (codes)(该软件被OMICTOOLS推荐)(BibTeX, EndNote)
    39. 林子雨, 赖明星, 邹权*, 薛永生, 杨思颖. 基于替换概率的闪存数据库缓冲区替换算法. 计算机学报. 2013, 36(8):1568-1581
    40. 邹权, 郭茂祖, 刘扬, 王峻. 类别不平衡的分类方法及在生物信息学中的应用. 计算机研究与发展. 2010,47(8):1407-1414 (软件与数据) 该论文获第三届中国数据挖掘会议(CCDM2009)大会优秀学生论文
    41. 邹权, 李旭斌, 林子雨, 江弋, 林琛. 下一代测序技术数据中的选择性剪切计算识别方法研究. 电子学报. 2012, 40(2):350-357
    42. 邹权, 郭茂祖, 王晓凯, 张涛涛. 基于关键字树的DNA多序列星比对算法. 电子学报. 2009,37(8):1746-1750 (软件)
    43. 邹权, 郭茂祖, 张涛涛. RNA二级结构预测方法综述. 电子学报. 2008,36(2):331-337
    44. Senjie Lin, Shifeng Cheng, Bo Song, Xiao Zhong, Xin Lin, Wujiao Li, Ling Li, Yaqun Zhang, Huan Zhang, Zhiliang Ji, Meichun Cai, Yunyun Zhuang, Xinguo Shi, Lingxiao Lin, Lu Wang, Zhaobao Wang, Xin Liu, Sheng Yu, Peng Zeng, Han Hao, Quan Zou, Chengxuan Chen, Yanjun Li, Ying Wang, Chunyan Xu, Shanshan Meng, Xun Xu, Jun Wang, Huanming Yang, David A. Campbe, Nancy R. Sturm, Steve Dagenais-Bellefeuille, David Morse. The Symbiodinium kawagutii genome illuminates dinoflagellate gene expression and coral symbiosis. Science. 2015, 350(6261): 691-694. (SCI, IF2017=41.058, PMID: 26542574)(Web Server)(基金委报导)

    所获奖励:


  • 科睿唯安(Clarivate Analytics)2018年“全球高被引学者”(Highly Cited Researchers 2018)
  • 2019年 Global Peer Review Awards (Top 1% in Biology and Biochemistry, Cross-Field) Powered by Publons
  • 四川省特聘专家
  • 2017年单年引用全球排名第40774名,其中生物信息学领域全球第184名,国内第5名(参考论文PLoS Biology 2019, 17(8): e3000384表S2)
  • 第二届中国计算机学会生物信息学会议最佳论文奖
  • 2016年 《生物信息学》优秀审稿专家
  • 2014年 CCDM数据挖掘竞赛第一名
  • 2013年 厦门大学第七届高等教育教学成果二等奖(题目: 公共计算机课程体系改革研究与实施, 排名第5)
  • 哈尔滨工业大学2009年优秀毕业生
  • 2009年 黑龙江省高校科学技术奖二等奖(题目: 计算分子生物学中的学习方法研究 证书号:2009-072-06)
  • 第三届中国数据挖掘会议(CCDM2009)大会优秀学生论文

  • 学术软件


    培养学生:


  • 厦门大学
  • 天津大学
  • 电子科技大学

  • 联系方式:

  • Email: zouquan(a)nclab.net(为防止垃圾邮件,请把(a)换成@)
  • QQ:(同事请加32400920) (学生请加1020628735)


  • 最后修改时间:2019.10.1