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宁康

时间:2016-01-15     浏览次数:

 

宁康
职称职务 教授,博士生导师,楚天学者特聘教授
学科专业 生物信息学,系统生物学,微生物学
联系方式 027-87793041(电话)(传真)
电子邮箱 ningkang@hust.edu.cn
 
教育经历 1998年09月-2003年07月 中国科学技术大学计算机系,学士
2003年08月-2008年08月 新加坡国立大学计算机学院生物信息专业,博士
工作经历 2007年11月-2010年06月 美国密歇根大学,博士后
2010年08月-2015年03月 中国科学院青岛生物能源与过程研究所,副研究员/研究员
2015年04月-至今 华中科技大学生命科学与技术学院,教授,生物信息与系统生物学系系主任
学术兼职 中国生物工程学会-计算生物学与生物信息学专业委员会委员;
中国遗传学会-生物大数据专业委员会委员;
中国计算机学会-生物信息学专业委员会委员,CCF高级会员;
中国细胞生物学学会-功能基因组信息学与系统生物学分会-转化医学信息学学组专家委员;
担任Scientific Reports、Genomics Proteomics & Bioinformatics、PLoS ONE、Journal of Glycobiology、Journal of Computational Systems Biology等期刊编委;
担任英国自然环境研究委员会(UK-NERC)和英国生物技术与生物科学研究理事会(UK-BBSRC)等基金评委
研究方向 研究方向为生物信息学、生物大数据挖掘、微生物组学。研究重点包括:(1)基于微生物组学大数据的深度学习方法开发和知识发现,(2)创新性的微生物组学实验和数据分析方法开发,(3)微生物组学数据库系统的开发,(4)单细胞数据分析方法开发和应用,(5)高性能计算等。

 

近年的科研项目、专著与论文、专利、获奖

微生物组生物信息学团队负责人。生物信息与系统生物学系系主任,楚天学者特聘教授。湖北省生物信息与成像技术重点实验室成员,教育部生物物理重点实验室成员。上海南方基因-华中大鄂州健康大数据中心骨干,赵国屏院士湖北省院士工作站骨干。已完成和正在主持的国家级项目包括国家自然科学基金项目、科技部重大研究计划课题等10余项。

已在Gut、Genome Biology、Bioinformatics、PLoS Genetics、Plant Cell等高水平学术期刊发表学术论文60余篇,其中以第一作者或通讯作者发表SCI论文40余篇,文章总引用超过2000次,H指数24(Google Scholar)。申请并公开国家发明专利20余项(已授权5项),获得软件著作权6项。Scientific Reports、Genomics Proteomics & Bioinformatics、PLoS ONE等国际期刊编委。参加国际会议并做报告50余次。

教授“生物统计学”、“生物信息学”等课程,并是连续3届iGEM金牌团队的指导老师。

详细情况请参见:http://www.microbioinformatics.org/

近五年代表性论文

1. Chaofang Zhong, Maozhen Han, Pengshuo Yang, Chaoyun Chen, Hui Yu, Lusheng Wang*, Kang Ning*. Comprehensive Analysis Reveals the Evolution and Pathogenicity of Aeromonas: viewed from both single isolated species and microbial community. mSystems, 2019, accepted. (SCI impact factor 6.519)
2. Yan Wang1, Qiang Shi1, Pengshuo Yang1, Chengxin Zhang1, Golam Mortuza, Zhidong Xue*, Kang Ning*, Yang Zhang*. Fueling ab initio folding with marine microbiome enables structure and function predictions of new protein families. Genome Biology, 2019, accepted. (SCI impact factor 14.028)
3. Chaoyun Chen, Zhangyu Cheng, Ruiqiao He, Maozhen Han, Yuguo Zha, Pengshuo Yang, Qi Yao, Hao Zhou, Chaofang Zhong, Kang Ning*. The seasonal dynamics and the influence of human activities on campus outdoor microbial communities. Frontiers in Microbiology 2019, accepted. (SCI impact factor 4.259)
4. Wang Xi, Yan Gao, Zhangyu Cheng, Chaoyun Chen, Maozhen Han, Pengshuo Yang, Kang Ning*. Using QC-Blind for quality control and contamination screening of bacteria DNA sequencing data without reference genome. Frontiers in Microbiology 2019, accepted. (SCI impact factor 4.259)
5. Kang Ning*, Yigang Tong*. The Fast Track for Microbiome Research. Genomics, Proteomics & Bioinformatics 2019, accepted. (SCI impact factor 6.615)
6. Hong Bai, Xianhong Li, Hongjun Li, Jialiang Yang, Kang Ning*. Biological ingredient complement chemical ingredient in the assessment of the quality of TCM preparations. Scientific Reports 2019, accepted. (SCI impact factor 5.228)
7. Runzhi Zhang, Xue Zhu, Hong Bai*, Kang Ning*. Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment. Frontiers in Pharmacology 2019, accepted. (SCI impact factor 3.831)
8. Chaoyun Chen, Andreas Harst, Wuxin You, Jian Xu, Kang Ning*, Ansgar Poetsch*. Proteomic study uncovers molecular principles of single-cell level phenotypic heterogeneity in lipid storage of Nannochloropsis oceanica. Biotechnology for Biofuels 2018, accepted. (SCI impact factor 5.497)
9. Maozhen Han, Melissa Dsouza, Chunyu Zhou, Hongjun Li, Junqian Zhang, Chaoyun Chen, Qi Yao, Chaofang Zhong, Hao Zhou,Jack A Gilbert*,Zhi Wang* ,Kang Ning*. Agricultural Pollution Risks Influence Microbial Ecology in Honghu Lake. Genomics, Proteomics & Bioinformatics 2018, accepted. (SCI impact factor 6.615)
10. Mingyue Cheng, Kang Ning*. Stereotype About Enterotype: the Old and New Ideas. Genomics, Proteomics & Bioinformatics, 2018. (SCI impact factor 6.615)
11. Hong Liu1, Maozhen Han1, Shuai Cheng Li1, Guangming Tan, Shiwei Sun, Zhiqiang Hu, Pengshuo Yang, Rui Wang, Yawen Liu, Feng Chen, Jianjun Peng, Hong Peng, Hongxing Song, Yang Xia, Liqun Chu, Quan Zhou, Feng Guan, Jing Wu*, Dongbo Bu*, Kang Ning*. Resilience of Human Gut Microbial Communities for the Long Stay with Multiple Dietary Shifts. Gut, 2018. (SCI impact factor 17.016)
12. Chongyang Tan, Wei Cui, Xinping Cui, Kang Ning*. Strain-GeMS: Optimized subspecies identification from microbiome data based on accurate variant modeling. Bioinformatics, bty844, 2018.(SCI impact factor 5.481)
13. Chaofang Zhong, Maozhen Han, Shaojun Yu, Pengshuo Yang, Hongjun Li,,Kang Ning*.Pan-genome analyses of 24 Shewanella strains re-emphasize the diversification of their functions yet evolutionary dynamics of metal-reducing pathway. Biotechnology for Biofuels 2018, accepted. (SCI impact factor 5.497)
14. Shuyan Tang1, Wang Xi1, Zhangyu Cheng1, Lei Yin, Ruihao Li, Guozhao Wu, Wangjie Liu, Junjie Xu, Shuaiying Xiang, Yanxiao Zheng, Qian Ge, Kang Ning*, Yunjun Yan* and Yi Zhan*. A Living Eukaryotic Autocementation Kit from Surface Display of Silica Binding Peptides on Yarrowia lipolytica. ACS synthetic biology 2016, 10.1021/acssynbio.6b00085 (SCI impact factor 6.076)
15. Jing Li1, Danxiang Han1, Dongmei Wang1, Kang Ning1, Jia Jing, Wei Li, Jing Xiaoyan, Huang Shi, Chen Jie, Li Yantao, Qiang Hu, Jian Xu. Choreography of transcriptomes and lipidomes of Nannochloropsis reveals the mechanisms of oleaginousness in microalgae, Plant Cell 2014, 26 (4), 1645-1665.
16. Dongmei Wang1, Kang Ning1, Jing Li1, Jianqiang Hu, Danxiang Han, Hui Wang, Xiaowei Zeng, Xiaoyan Jing, Qian Zhou, Xiaoquan Su, Xingzhi Chang, Anhui Wang, Wei Wang, Jing Jia, Li Wei, Yi Xin, Yinghe Qiao, Ranran Huang, Jie Chen, Bo Han, Russell T. Hill, Yonathan Zohar, Feng Chen, Qiang Hu, and Jian Xu. Nannochloropsis Genomes Reveal Evolution of Microalgal Oleaginous Traits. PLoS Genetics 2014, 10(1):e1004094.
17. Xiaoquan Su; Jian Xu; Kang Ning*. Meta-Storms: Efficient Search for Similar Microbial Communities Based on a Novel Indexing Scheme and Similarity Score for Metagenomic Data. Bioinformatics 2012. 28(19):2493-501.
18. Kang Ning, Damian Fermin, and Alexey I. Nesvizhskii. Comparative analysis of different label-free mass spectrometry based protein abundance estimates and their correlation with RNA-Seq gene expression data. Journal of Proteome Research 2012. 11(4):2261-71.

(1: co-first author, *: corresponding author )

 



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