李霞教授简介

李霞，教授，博士生导师、海南医学院生物医学信息与工程学院院长，享受国务院特殊津贴，“龙江学者”特聘教授，国家863项目首席科学家，国家973项目负责人，北京“百千万人才工程”入选者。曾荣获中国女医师协会五洲女子科技奖、省优秀中青年专家、省教学名师、省优秀科技工作者等荣誉称号。1993年任副教授，1997年破格晋升为教授，1999年12月到2001年1月应美国UNC与CWRU复杂疾病基因定位奠基人Robert Elston博士邀请，作为访问教授赴美从事复杂疾病基因定位和基因表达谱疾病基因发现等研究工作。

主要学术兼职：科技部重点研发项目评审专家、国家863项目评审专家、国家自然科学基金评审专家、国家自然科学基金学科组评审专家、全国高等学校临床医学专业八年制卫生部规划教材《生物信息学》主编、中国细胞生物学会功能基因组信息学与系统生物学专业委员会理事长、中国药理学会网络药理学专业委员会理事，国际著名杂志《Nucleic Acids Research》、《Bioinformatics》、BMC系列杂志和《Journal of Drug Targeting》论文评审专家、《中国生物工程》杂志理事、《生物信息学》、《生物物理学报》杂志编委、中国信息协会常务理事、黑龙江省自然科学基金评审专家等。

李霞教授主要研究方向为生物信息学与计算系统生物学；miRNA、LncRNA分子因子识别、miRNA-mRNA失调网络重建；基于RNA表达谱(mRNA/miRNA 和LncRNA等)信息学分析；复杂疾病miRNA－miRNA协同作用的分析；miRNA调控的子通路识别；人类非编码RNA的系统识别与功能分析平台建设；衰老与代谢相关疾病风险通路区域和关键节点识别的系统生物学研究；基于生物谱的复杂重大疾病的分子分型与生物标志物识别；生物信息融合分析技术；分子生物网络（SNPs虚拟网络、基因调控网络、miRNA-mRNA协同调控网、蛋白质互作网络等）重建；miRNA与复杂疾病调控机制研究；复杂疾病的风险通路（pathway）识别技术；基于新一代测序的复杂疾病风险分析；基因与蛋白质功能研究的生物芯片信息学分析技术；炎癌转化的分子机制研究；高通量药物分子靶标筛选技术；重大疾病分析平台与数据库构建等领域的研究成果达到国内一流水平，并具有较高的国际影响力。

李霞教授先后承担国家级课题30余项，其中，国家863高科技计划项目4项，国家973项目2项，国家自然科学基金项10项（主持9项），获省部级奖、中华医学奖等12项，在Nucleic Acids Research (20篇SCI IF：11.561)、Hepatology (IF 14.079)、Cancer Research (IF 9.13)、NEURO-ONCOLOGY (IF 9.384)等国内外著名学术期刊和学术会议等发表论文200余篇，累计SCI影响因子千余点。

李霞教授先后指导博士研究生50余人，硕士研究生90余人，毕业生已成为国内外著名高校和研究院所骨干，主持建立的生物信息学与计算系统生物学教育教学体系已经成为国家计算生物学教育模板，承担省部级教育教学课题10余项，获省级以上教学成果奖3项，校级教学成果奖5项，为国家现代生物医学教育发展和人才培养做出了巨大贡献。

李霞教授任国家首部《生物信息学》规划教材主编、十二五规划教材《医用高等数学》主编、卫生部规划教材《卫生管理运筹学》副主编，主编人卫出版社《生物信息学理论与医学实践》专著一部，并主编《计算分子生物学与基因组信息学》、《医学遗传学与遗传流行病学数据分析》等省部级教材6部，参编省级以上教材或专著10余部。

李霞教授发表科研SCI论文300余篇（以下仅列SCI影响因子10以上第一或通讯作者）：

[1] Yongsheng Li, Yunpeng Zhang, Xia Li, Song Yi, and Juan Xu, Gain-of-Function Mutations: An EmergingAdvantage for Cancer Biology. Trends in Biochemical Sciences, 2019. 44(8):p.659-674. (SCI IF: 16.688)

[2] Gao, Y., P. Wang, Y. Wang, X. Ma, H. Zhi, D. Zhou, X. Li, Y. Fang, W. Shen, Y. Xu, S. Shang, L. Wang, L. Wang, S. Ning, and X. Li, Lnc2Cancer v2.0: updated database of experimentally supported long non-coding RNAs in human cancers. Nucleic Acids Res, 2018. (SCI IF: 11.561)

[3] Li, Y., L. Li, Z. Wang, T. Pan, N. Sahni, X. Jin, G. Wang, J. Li, X. Zheng, Y. Zhang, J. Xu, S. Yi, and X. Li, LncMAP: Pan-cancer atlas of long noncoding RNA-mediated transcriptional network perturbations. Nucleic Acids Res, 2018. 46(3): p. 1113-1123. (SCI IF: 11.561)

[4] Lu, J., J. Xu, J. Li, T. Pan, J. Bai, L. Wang, X. Jin, X. Lin, Y. Zhang, Y. Li, N. Sahni, and X. Li, FACER: comprehensive molecular and functional characterization of epigenetic chromatin regulators. Nucleic Acids Res, 2018. 46(19): p. 10019-10033. (SCI IF: 11.561)

[5] Wang, P., X. Li, Y. Gao, Q. Guo, Y. Wang, Y. Fang, X. Ma, H. Zhi, D. Zhou, W. Shen, W. Liu, L. Wang, Y. Zhang, S. Ning, and X. Li, LncACTdb 2.0: an updated database of experimentally supported ceRNA interactions curated from low- and high-throughput experiments. Nucleic Acids Res, 2018. (SCI IF: 11.561)

[6] Yuan, H., M. Yan, G. Zhang, W. Liu, C. Deng, G. Liao, L. Xu, T. Luo, H. Yan, Z. Long, A. Shi, T. Zhao, Y. Xiao, and X. Li, CancerSEA: a cancer single-cell state atlas. Nucleic Acids Res, 2018. (SCI IF: 11.561)

[7] Zhang, X., Y. Lan, J. Xu, F. Quan, E. Zhao, C. Deng, T. Luo, L. Xu, G. Liao, M. Yan, Y. Ping, F. Li, A. Shi, J. Bai, T. Zhao, X. Li, and Y. Xiao, CellMarker: a manually curated resource of cell markers in human and mouse. Nucleic Acids Res, 2018. (SCI IF: 11.561)

[8] Zhi, H., X. Li, P. Wang, Y. Gao, B. Gao, D. Zhou, Y. Zhang, M. Guo, M. Yue, W. Shen, S. Ning, L. Jin, and X. Li, Lnc2Meth: a manually curated database of regulatory relationships between long non-coding RNAs and DNA methylation associated with human disease. Nucleic Acids Res, 2017. 46(D1): p. D133-D138. (SCI IF: 11.561)

[9] Zhang, H., S. Luo, X. Zhang, J. Liao, F. Quan, E. Zhao, C. Zhou, F. Yu, W. Yin, Y. Zhang, Y. Xiao, and X. Li, SEECancer: a resource for somatic events in evolution of cancer genome.Nucleic Acids Res, 2017. 46(D1): p. D1018-D1026. (SCI IF: 11.561)

[10] Zhang, H., Y. Deng, Y. Zhang, Y. Ping, H. Zhao, L. Pang, X. Zhang, L. Wang, C. Xu, Y. Xiao, and X. Li, Cooperative genomic alteration network reveals molecular classification across 12 major cancer types. Nucleic Acids Res, 2017. 45(2): p. 567-582. (SCI IF : 11.561)

[11] Zhang, G., J. Shi, S. Zhu, Y. Lan, L. Xu, H. Yuan, G. Liao, X. Liu, Y. Zhang, Y. Xiao, and X. Li, DiseaseEnhancer: a resource of human disease-associated enhancer catalog. Nucleic Acids Res, 2017. 46(D1): p. D78-D84. (SCI IF: 11.561)

[12] Yue, M., D. Zhou, H. Zhi, P. Wang, Y. Zhang, Y. Gao, M. Guo, X. Li, Y. Wang, Y. Zhang, S. Ning, and X. Li, MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases. Nucleic Acids Res, 2017. 46: p. D181-D185. (SCI IF : 11.561)

[13] Xu, J., Feng, L., Han, Z., Li,Y., Wu, A., Shao, T., Ding, N., Li, L., Deng, W., Di, X., Wang, J., Zhang, L., Xia, L., Zhang, K., and Cheng, Sh, Extensive ceRNA–ceRNA interaction networks mediated by miRNAs regulate development in multiple rhesus tissues. Nucleic Acids Research, 2016, 44(19): p. 9438–9451. (SCI IF :10.162)

[14] Ning, S., M. Yue, P. Wang, Y. Liu, H. Zhi, Y. Zhang, J. Zhang, Y. Gao, M. Guo, D. Zhou, X. Li, and X. Li, LincSNP 2.0: an updated database for linking disease-associated SNPs to human long non-coding RNAs and their TFBSs. Nucleic Acids Res, 2017. 45(D1): p. D74-D78. (SCI IF :10.162)

[15] Ping, Y., Y. Deng, L. Wang, H. Zhang, Y. Zhang, C. Xu, H. Zhao, H. Fan, F. Yu, Y. Xiao, and X. Li, Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data. Nucleic Acids Res, 2015. 43(4): p. 1997-2007. (SCI IF: 9.202)

[16] Wang, P., S. Ning, Y. Zhang, R. Li, J. Ye, Z. Zhao, H. Zhi, T. Wang, Z. Guo, and X. Li, Identification of lncRNA-associated competing triplets reveals global patterns and prognostic markers for cancer. Nucleic Acids Res, 2015. 43(7): p. 3478-3489. (SCI IF : 9.202)

[17] Xu, J., Y. Li, J. Lu, T. Pan, N. Ding, Z. Wang, T. Shao, J. Zhang, L. Wang, and X. Li, The mRNA related ceRNA-ceRNA landscape and significance across 20 major cancer types. Nucleic Acids Res, 2015, 43(17): p. 8169-8182. (SCI IF: 9.202)

[18] Ning, S., J. Zhang, P. Wang, H. Zhi, J. Wang, Y. Liu, Y. Gao, M. Guo, M. Yue, L. Wang, and X. Li, Lnc2Cancer: a manually curated database of experimentally supported lncRNAs associated with various human cancers. Nucleic Acids Res, 2015.44 : p.D980-D985 (SCI IF: 9.202)

[19] Zhi, H., S. Ning, X. Li, Y. Li, W. Wu, and X. Li, A novel reannotation strategy for dissecting DNA methylation patterns of human long intergenic non-coding RNAs in cancers. Nucleic Acids Res, 2014. 42(13): p. 8258-8270. (SCI IF:9.112)

[20] Wu, D., Y. Huang, J. Kang, K. Li, X. Bi, T. Zhang, N. Jin, Y. Hu, P. Tan, L. Zhang, Y. Yi, W. Shen, J. Huang, X. Li, X. Li, J. Xu, D.Wang, ncRDeathDB: a comprehensive bioinformatics resource for deciphering network organization of the ncRNA-mediated cell death system. Autophagy. 2015. 11 (10): p.1917-1926. (SCI IF: 9.108)

[21] Li, C., J. Han, Q. Yao, C. Zou, Y. Xu, C. Zhang, D. Shang, L. Zhou, C. Zou, Z. Sun, J. Li, Y. Zhang, H. Yang, X. Gao, and X. Li, Subpathway-GM: identification of metabolic subpathways via joint power of interesting genes and metabolites and their topologies within pathways. Nucleic Acids Res, 2013.

41(9): p. e101.（SCI IF: 8.808）