个人简历

学习经历\r
2001.09-2005.07 唐山师范学院，学士\r
2005.09-2010.07 内蒙古大学，博士\r
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工作经历\r
2010.07-2012.11 华北理工大学，理学院，讲师\r
2012.11-2016.12 华北理工大学, 理学院，副教授\r
2013.10-2014.10 美国弗吉尼亚理工大学，计算机系，博士后\r
2016.12- 华北理工大学, 理学院，教授

研究领域

""Recent development of high-throughput technologies generate and continue to generate an overwhelmingly large amount of data. It provides both opportunities and challenges for knowledge discovery from genomic data. Sequence-based computational methods, as excellent complements to experimental techniques, provide a fast, efficient and cost effective solution to modeling genomic data, and revealing the underlying biological mechanisms.\r
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Our research is about developing computational tools that can process and analyze various kinds of complex in genomics and proteomics data.\r
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Our interest falls into the broad category of Bioinformatics. Some current projects include:\r
Prediction of DNA regulatory elements such as nucleosome, origin of replications, tanscription start sites, promoter.\r
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Aanlysis of regulatory elements using nucleotide physicochemical properties.\r
Designing computational method to predict RNA modification sites, RNA subcellular localization and RNA splicing.\r
Developing machine learning methods to identify protein function and type.""""

近期论文

Zhen-Dong Su, Yan Huang, Zhao-Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen*, Kuo-Chen Chou*, Hao Lin*. (2018) iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. Bioinformatics, DOI: 10.1093/bioinformatics/bty508.\r
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Hui Yang, Hao Lv, Hui Ding, Wei Chen*, Hao Lin*. (2018) iRNA-2OM: A sequence-based predictor for identifying 2’-O-methylation sites in Homo sapiens. Journal of Computational Biology, DOI: 10.1089/cmb.2018.0004.\r
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Wei Chen*. Hui Yang, Peng-Mian Feng, Hui Ding, Hao Lin*. iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties. Bioinformatics: 2017,33(22): 3518-3523.\r
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Hao Lin*, Zhi-Yong Liang, Hua Tang, Wei Chen*. Identifying sigma70 promoters with novel pseudo nucleotide composition. IEEE/ACM Transactions on Computational Biology and Bioinformatics: 2017, In Press.\r
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ZhiYong Liang, Hong-Yan Lai, Huan Yang, Chang-Jian Zhang, Hui Yang, Huan-Huan Wei, Xin-Xin Chen, Ya-Wei Zhao, Zhen-Dong Su, Wen-Chao Li, En-Ze Deng, Hua Tang, Wei Chen*, Hao Lin*. Pro54DB: a database for experimentally verified sigma-54 promoters. Bioinformatics: 2017, 33(3), 467-469.\r
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Wei Chen*, Hua Tang, Jing Ye, Hao Lin*, Kuo-Chen Chou*. iRNA-PseU: Identifying RNA pseudouridine sites. Molecular Therapy-Nucleic Acids: 2016, 5, e332.\r
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Wei Chen*, Pengmian Feng, Hui Ding, Hao Lin*, Kuo-CHen Chou*. Using deformation energy to analyze nucleosome positioning in genomes. Genomics: 2016, 107, 69-75.\r
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Wei Chen*, Pengmian Feng, Hui Ding, Hao Lin*, Kuo-Chen Chou*. iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide compositions. Analytical Biochemistry: 2015, 490, 26-33.\r
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Wen-Chao Li, En-Ze Deng, Hui Ding*, Wei Chen*, Hao Lin*. iORI-PseKNC: a predictor for identifying origin of replication with pseudo k-tuple nucleotide composition. Chemometrics and Intelligent Laboratory Systems: 2015, 141, 100-106.\r
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Wei Chen*, Xitong Zhang, Jordan Brooker, Hao Lin, Liqing Zhang*, Kuo-Chen Chou*. PseKNC-General: A cross-platform package for generating various modes of pseudo nucleotide compositions. Bioinformatics: 2015, 31(1), 119-120.\r
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Hao Lin*, En-Ze Deng, Hui Ding, Wei Chen*, Kuo-Chen Chou*. iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition. Nucleic Acids Research: 2014, 42(21), 12961-12972.\r
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Wen-Chao Li, Zhe-Jin Zhong, Pan-Pan Zhu, En-Ze Deng, Hui Ding*, Wei Chen*，Hao Lin*. Sequence analysis of origins of replication in the Saccharomyces cerevisiae genomes. Frontiers in Microbiology: 2014, 5, 574.\r
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Shou-Hui Guo, En-Ze Deng, Li-Qin Xu, Hui Ding, Hao Lin*, Wei Chen*, Kuo-Chen Chou*. iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Bioinformatics: 2014, 30(11), 1522-1529.\r
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Wei Chen*, Tian-Yu Lei, Dian-Chuan Jin, Hao Lin*, Kuo-Chen Chou*. PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition. Analytical Biochemistry: 2014, 456, 53-60.\r
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Wei Chen*, Peng-Mian Feng, Hao Lin*, Kuo-Chen Chou*. iRSpot-PseDNC: Identify recombination spots with pseudo dinucleotide composition. Nucleic Acids Research: 2013, 41(6), e68.\r
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Chen Ding, Lu-Feng Yuan, Shou-Hui Guo, Hao Lin*, Wei Chen*. Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions. Journal of Proteomics: 2012,77, 321-328.\r
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Wei Chen*, Hao Lin*, Peng-Mian Feng, Chen Ding, Yong-Chun Zuo, Kuo-Chen Chou*. iNuc-PhysChem: A sequence-based predictor for identifying nucleosomes via physicochemical properties. PLoS One: 2012, 7(10), e47843.\r
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Hao Lin*, Chen Ding, Qiang Song, Ping Yang, Hui Ding, Ke-Jun Deng, Wei Chen*. The prediction of protein structural class using averaged chemical shifts. Journal of Biomolecular Structure & Dynamics: 2012, 29(6), 643-648.\r
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Wei Chen*, Pengmian Feng, Hao Lin*. Prediction of replication origins by calculating DNA structural properties. FEBS Letters: 2012, 586(6), 934-938.\r
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Wei Chen, Liaofu Luo, Lirong Zhang. The organization of nucleosomes around splice sites. Nucleic Acids Research: 2010, 38(9), 2788-2798.