省海外高层次人才     首页 > 研究队伍
马占山  研究员
计算生物与医学生态学学科组
职  务:
学  历: 计算机科学和昆虫学双博士
电  话: +86 871 65183700
传  真: +86 871 65183700
电子邮件: ma@mail.kiz.ac.cn
通讯地址: 云南省昆明市教场东路32号    650223
其他主页:
  简  历

马占山,研究员,博导,计算生物与医学生态学学科负责人。美国爱达荷大学计算机科学(2008)和昆虫学(1997)双博士; 计算机科学和计算生物学研究科学家。具有在美国硅谷等地近10年的涵盖电子、网络、软件、信息安全领域的计算机高级工程师经历, 曾担任人类微生物菌群研究计划(Human Microbiome Project)主要研发科学家; 受邀为英国

Faculty of 1000 Biology & Medicine撰写学术评论 (2008-2016)2011年分别入选云南省高端科技人才和海外高层次人才;  2015 年入选云岭产业领军人才。在计算机科学、工程数学、计算智能与人工智能、昆虫学、生态学、生物信息学、人类微生物群系、宏基因组等领域的重要期刊发表论文近百篇;合作研发出大型二、三代基因测序软件、超大规模进化树构建软件DBG2OLCSPARCSparseAssembler, HPTree),并申请10多项发明专利。 在计算科学领域(非生物学领域)论文可见DBLP计算机科学数据库和MathSciNet 数学网数据库:http://dblp.uni-trier.de/pers/hd/m/Ma:Zhanshan_=Sam= 

http://genealogy.math.ndsu.nodak.edu/id.php?id=132255  

  研究方向

1】基因大数据科学、三代基因测序软件技术。合作发布如下大型基因测序软件技术:

DBG2OLC, SPARC, SparseAssembler, 10x-assisted-3GS Hybrid Assembly.

2】人类微生物群系(菌群)医学生态学理论和方法。

主编《生物信息学:计算技术与软件导论》(科学出版社,该书获国家科技出版基金奖励资助),并在 ISME Journal, Ecological Monographs, Molecular Ecology, Science Translational Medicine 等发表论文近50篇。

3】网络安全可靠性、可存活性理论、进化博弈论、计算智能、人工智能。

编著:《Reliability, Survivability and Resilience: A Unified Theoretic Approach with

Survival Analysis, Dynamic Hybrid Fault Models and Extended Evolutionary Game Theory

(in Press) Springer. 并在IEEE Translations on Reliability 等期刊和 IEEE / ACM 主办国际会议发表论文30余篇。

软件技术:

DBG2OLC, SPARC, SparseAssembler, 10x-assisted-3GS Hybrid Assembly,

[1] DBG2OLC [三代基因测序组装软件: An ultra efficient de Novo genome assembler for the 3rd generation sequencing technologies (PacBio & Oxford Nanopore)]. Available at:  

https://sites.google.com/site/dbg2olc/ 

https://sourceforge.net/projects/dbg2olc/    

[2] Sparc [三代基因测序纠错软件: A sparsity-based consensus algorithm for long erroneous 3rdGS sequencing reads]. Available at:  

https://sourceforge.net/projects/sparc-consensus/                                                                  

https://github.com/yechengxi/Sparc    

[3] SparseAssembler [二代基因测序组装软件: Sparse k-mer Graph for Memory Efficient de novo Genome Assembly). The core algorithm (Sparse k-mer) was used in BGI’s SoapDenovo-II, the updated version of BGI’s flagship software SoapDenovo]. Available at: 

https://sites.google.com/site/sparseassembler/                    

https://sourceforge.net/projects/sparseassembler/   

[4] 10x-assisted-3GS Hybrid Assembly:

Ma ZS et al. (2018) Hybrid assembly of ultra-long Nanopore reads augmented with 10×-genomics contigs: Demonstrated with a human genome. Genomics, vol. 110, https://doi.org/10.1016/j.ygeno.2018.12.013

[5] HPTree: Reconstructing evolutionary trees in parallel for massive sequences. BMC System Biology.

http://lab.malab.cn/soft/HPtree/contact.html

  承担科研项目

(1)  国家自然科学基金(信息科学部):生态“舞台”与进化计算“演出”(20122015)  

(2)  国家自然科学基金(管理科学部):网络系统可存活性理论的扩展及实证研究(20152018)  

(3)  国家自科学基金(生命科学部):基于宏遗传技术的生物多样性检测法(20122015)   

(4)  云南省引进高端科技人才项目: 面向计算生物信息学的GP-GPU计算技术(2012-2016

(5)  海外高层次人才引进计划 (2012-2015)                

(6)  云岭产业技术领军人才基金(2015-2019年)

(7) 国际合作项目:基因大数据信息技术及其应用(2017-2019年)

  专家类别
研究员;云南省高端科技人才;海外高层次人才;云岭产业技术领军人才
  社会任职

Faculty 1000 of Biology and Medicine, UK (2008-2016)

  获奖及荣誉
 
  代表论著

 

1.     Li Wendy & ZS Ma (2019) FBA Ecological Guild: Trio of Firmicutes-Bacteroidetes Alliance against Actinobacteria in Human Oral Microbiome. (Under Review)

 

2.     Li Wendy & ZS Ma (2019) A theoretic approach to the mechanism of gut microbiome translocation in SIV-infected Asian macaques. (Under Review)

 

3.     Li Lianwei, Wendy Li, Quan Zou, ZS Ma (2019) Network analysis of the hot spring microbiome sketches possible niche differentiations among ecological guilds. (Under Review)

 

4.     Li Lianwei & ZS Ma (2019) Species sorting and neutral theory analyses reveal archaeal and bacterial communities are assembled differently in hot springs. (Under Review)

 

5.     Ma ZS & Wendy Li (2019) How man and woman are different in their microbiome—Ecological and network analyses of the microgenderome. (Under Review)

 

6.     Ma ZS & Lianwei Li (2019) Estimating the optimum coverage and quality of amplicon sequencing. (Under Rreview)

 

7.     Ma ZS & Lianwei Li (2019) The microbiome transmission in complementary seminovaginal microbiome is a random walk driven by neutral process (Under Review)

 

8.     Ma ZS (2019) Assessing and interpreting the heterogeneity of human gut metagenome. (Under Review)

 

9.     Ma ZS (2019) Why there is not a consistent diversity-disease relationship in human microbiome-associated diseases (Under Review)

 

10.  Ma ZS, LW Li and YP Zhang (2019) Individual-Level SNP Diversity and Similarity Profiles. https://arxiv.org/abs/1903.04512

 

11.  Ma ZS (2019) Human reproductive system microbiomes exhibited significantly different heterogeneity scaling with gut microbiome, but the intra-system scaling is invariant. https://www.biorxiv.org/content/10.1101/680355v1

 

12.  Ma ZS & AM Ellison (2019) Dominance network analysis provides a new framework for studying the diversity-stability relationship. Ecological Monographs. DOI: https://doi.org/10.1002/ecm.1358

 

13.  Ma ZS, Li L, Gotelli NJ (2019) Diversity-disease relationships and shared species analyses for human microbiome-associated diseases. The ISME Journal. DOI: https://doi.org/10.1038/s41396-019-0395-y

 

14.  Li LW & Ma ZS (2019) Comparative power law analysis for the spatial heterogeneity scaling of the hot-spring and human microbiomes. Molecular Ecology. DOI: http://dx.doi.org/10.1111/mec.15124

 

15.  Ma ZS (2019) A new DTAR (diversity–time–area relationship) model demonstrated with the indoor microbiome.  Journal of Biogeography, https://doi.org/10.1111/jbi.13636

 

16.  Ma ZS, Li LW, Ye CX, Peng MS, Zhang YP (2019) Hybrid assembly of ultra-long Nanopore reads augmented with 10×-genomics contigs: Demonstrated with a human genome. Genomics, vol. 110, https://doi.org/10.1016/j.ygeno.2018.12.013

 

17.  Ma ZS & AM Ellison (2018) A unified concept of dominance applicable at both community and species scale. Ecosphere, https://doi.org/10.1002/ecs2.2477.

 

18.  Ma ZS (2018) Extending species-area relationships (SAR) to diversity-area relationships (DAR), Ecology and Evolution, DOI: 10.1002/ece3.4425

 

19.  Ma ZS (2018) Diversity time-period and diversity-time-area relationships exemplified by the human microbiome. Scientific Reports, 8(1):7214.

 

20.  Ma ZS (2018) Sketching the human microbiome biogeography with DAR (diversity-area relationship) profiles. Microbial Ecology, vol. 76, https://doi.org/10.1007/s00248-018-1245-6   

 

21.  Ma ZS, Li LW, Li W (2018) Assessing and interpreting the within-Body biogeography of human microbiome diversity. Frontiers in Microbiology, 9:1619.

 

22.  Ma ZS, Li LW (2018) Measuring metagenome diversity and similarity with Hill numbers. Molecular Ecology Resources, https://doi.org/10.1111/1755-0998.12923

 

23.  Li W, Yuan Y, Xia Y, Sun Y, Miao Y, Ma ZS (2018) A cross-scale neutral theory approach to the influence of obesity on community assembly of human gut microbiome. Frontiers in Microbiology, 2018.

 

24.  Sun Y, Li LW, Xia Y, Li W, Wang K, Wang L, Miao Y, Ma ZS (2018) The gut microbiota heterogeneity and assembly changes associated with the IBD. Scientific Reports. DOI:10.1038/s41598-018-37143-z

 

25.  Li LW & Ma ZS (2018) Global microbiome diversity scaling in hot springs with DAR (diversity-area relationship) profiles. Frontiers in Microbiology. DOI: https://doi.org/10.3389/fmicb.2019.00118

 

26.  Ma ZS, Li LW (2018) Semen microbiome biogeography: an analysis based on a Chinese population study. Frontiers in Microbiology. DOI: 10.3389/fmicb.2018.03333.

 

27.  Ma ZS, Ye DD (2017) Trios—promising in silico biomarkers for differentiating the effect of disease on the human microbiome network. Scientific Reports, 7(1):13259.

 

28.  Ma ZS (2017) The P/N (Positive-to-Negative Links) ratio in complex networks—a promising in silico biomarker for detecting changes occurring in the human microbiome. Microbial Ecology, vol. 75(4): DOI:10.1007/s00248-017-1079-7.

 

29.  Ma ZS, Li L (2017) Quantifying the human vaginal community state types (CSTs) with the species specificity index. Peer J, 2017, 5(6). DOI: 10.7717/peerj.3366.

 

30.  Chen HJ, Peng S, Dai L, Zou Q, Yi B, Yang X, Ma ZS (2017) Oral microbial community assembly under the influence of periodontitis. PLOS ONE, 12(8):e0182259. doi: 10.1371/journal.pone.0182259.

 

31.  Dai L, Kou H, Xia Y, Wen X, Ma ZS (2017) Does colorectal cancer significantly influence the assembly of gut microbial communities?. Peer J, 5(8):e3383. DOI:10.7717/peerj.3383.

 

32.  Wei L, Xing PW, Su R, Shi G, Ma ZS, Zou Q (2017) CPPred-RF: A Sequence-based predictor for identifying cell-penetrating peptides and their uptake efficiency. Journal of Proteome Research, 2017:acs.jproteome.7b00019.

 

33.  Zou Q, Wan S, Zeng X, Ma ZS (2017) Reconstructing evolutionary trees in parallel for massive sequences. BMC Systems Biology, 11(S6):100. DOI: 10.1186/s12918-017-0476-3.

 

34.  Ma ZS (2017) Measuring microbiome diversity and similarity with Hill Numbers. Chapter 8, inMetagenomicshttps://doi.org/10.1016/B978-0-08-102268-9.00008-2, Elsevier

 

35.  Ye CX & ZS Ma (2016) Sparc: a sparsity-based consensus algorithm for long erroneous sequencing reads. PeerJ. 4:e2016; DOI 10.7717/peerj.2016  https://peerj.com/articles/2016/    

 

36.  Ye CX, C Hill, J Ruan, ZS Ma (2016) DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies. http://www.nature.com/articles/srep31900    

 

37.  Li LW & Ma ZS (2016) Testing the Neutral Theory of Biodiversity with Human Microbiome Datasets. Scientific Reports. 6, Article No. 31448

 

38.  Ma ZS, LW Li, Wendy Li, Jie Li, HJ Chen (2016) Integrated network-diversity analyses suggest suppressive effect of Hodgkin’s lymphoma and slightly relieving effect of chemotherapy on human milk microbiome. Scientific Reports, vol. 6, Article Number 28048, doi:10.1038/srep28048

 

39.  Wang Y, Wang R, Li Y, Ma ZS* (2016) Sex Ratio Elasticity Influences the Selection of Sex Ratio Strategy. Scientific Reports, 2016, 6(1):39807

 

40.  Ma ZS et al (2016) A Brief Review on the Ecological Network Analysis with Applications in the Emerging Medical Ecology. pp7-41, In “Hydrocarbon and Lipid Microbiology Protocols, Springer Protocols Handbooks”. Editors: McGenity T. et al. Springer.

 

41.  Ma ZS et al. (2015) Network analysis suggests a potentially ‘evil’ alliance of opportunistic pathogens inhibited by a cooperative network in human milk bacterial communities. Scientific Reports 5, Article number: 8275

 

42.  Ma ZS (2015) Power law analysis of the human microbiome. Molecular Ecology, vol. 24, DOI: 10.1111/mec.13394.   

 

43.  Ma ZS (2015) Towards computational models of animal cognition, an introduction for computer scientists.  Cognitive Systems Research 33:42-69        

 

44.  Ma ZS (2015) Towards computational models of animal communication, an introduction for computer scientists. Cognitive Systems Research 33:70-99     

 

45.  Ye CX, Hill C, Ruan J, Ma ZS* (2014). DBG2OLC: efficient assembly of large genomes using the compressed overlap graph.  Paper: http://adsabs.harvard.edu/cgi-bin/bib_query?arXiv:1410.2801  Software: http://sites.google.com/site/dbg2olc/   

 

46.  Li H, Ye DD, Wang X, Settles ML, Wang J, Zhou L, Dong P, Ma ZS* (2014) Soil bacterial communities of different natural forest types in China. Plant and Soil 383.  

 

47.  Guan Q & Ma ZS* (2014). Ecological analysis of the human milk microbiome.  Chinese Science Bulletin 59(22): 2205-2212. http://www.eurekalert.org/pub_releases/2014-09/scp-ahb090214.php     

 

48.  Ma, ZS, Liexun Yang, Ronald P. Neilson, Andrew Hess, Richard Millar (2014) A Survivability-Centered Research Agenda for Cloud Computing Supported Emergency Response and Management Systems. 17pp. The 35th IEEE-AIAA Aerospace Conference (Aerospace 2014), Big Sky, Montana, USA, March 7-15th, 2014. doi: 10.1109/AERO.2014.6836515  

 

49.  Zhang ZG, Geng JW, Tang XD, Fan H, Xu JC, Wen XJ, ZS Ma*, P. Shi* (2014) Spatial heterogeneity and co-occurrence patterns of human mucosal associated intestinal microbiota. The ISME Journal, doi:10.1038/ismej.2013.185    

 

50.  Ma, ZS (2013) Stochastic Populations, Power Law, and Fitness Aggregation in Genetic Algorithms. Fundamenta Informaticae, vol. 122, pp173-206.    

 

51.  Ma, ZS (2013) First passage time and first passage percolation models for analyzing network resilience and effective strategies in strategic information warfare research. I. J. Information and Computer Security. 5(4): 334-358.

 

52.  Ma, ZS (2012) Chaotic populations in Genetic Algorithms. Applied Soft Computing, 12(8): 2409-2424.    

 

53.  Ma, ZS (2012) A unified definition for reliability, survivability and resilience inspired by the handicap principle and ecological stability. I. J. of Critical Infrastructures, 8(2):242-272.   

 

54.  Ma, ZS (2012) A Note on Extending Taylor’s Power Law for Characterizing Human Microbial Communities: Inspiration from Comparative Studies on the Distribution Patterns of Insects and Galaxies, and as a Case Study for Medical Ecology and Personalized Medicine. http://adsabs.harvard.edu/abs/2012arXiv1205.3504M    

 

55.  Ye, CX, ZS Ma, CH. Cannon, M Pop and DW. Yu. 2012.  Exploiting sparseness in de novo genome assembly. BMC Bioinformatics, 13(Suppl 6):S1.    

 

56.  Gajer, P, RM. Brotman, G Bai, J Sakamoto, UME Schütte, X Zhong, SSK Koenig, L Fu, ZS Ma, X Zhou, Z Abdo, LJ Forney and J Ravel. (2012) Temporal Dynamics of the Human Vaginal Microbiota.  Science Translational Medicine. 4:(132): 132ra52.

 

57.  Ma ZS et al (2012) A Bird's Eye View of Microbial Community Dynamics. In “Microbial Ecological Theory: Current Perspectives.” Editors: LA Ogilvie and PR Hirsch. Caister Academic Press.

 

58.  Ma, ZS & AW Krings (2011) Dynamic hybrid fault modeling and extended evolutionary Game theory for reliability, survivability and fault tolerance analyses. IEEE Transactions on Reliability. vol. 60(1):180-196.  

 

59.  Ma, ZS (2011) Ecological ‘theater’ for evolutionary computing ‘play’: some insights from population ecology and evolutionary ecology. I. Journal of Bio-Inspired Computing 4(1):31-55.  

 

60.  Ma, ZS (2011) Did we miss some evidence of chaos in laboratory insect populations? Population Ecology, 53:405–412.   

 

61.  Ma, ZS (2011) Frailty modeling for risk analysis in network security and survivability. I. J. Computer and Information Security, 4:276-294. 

 

62.  Ma, ZS et al (2011). Insect navigation and communication in flight and migration: a potential model for joining and collision avoidance in MAVs (Micro-Aerial Vehicle) and mobile robots fleet control. Proc. of the 32nd IEEE-AIAA Aerospace Conference. 14pp, Big Sky, Montana, USA.

 

63.  Ye, CX., C. Cannon, ZS Ma*, DW. Yu, and M. Pop* (2011) SparseAssembler2: Sparse k-mer Graph for Memory Efficient Genome Assembly. http://adsabs.harvard.edu/cgi-bin/bib_query?arXiv:1108.3556  

 

64.  Ma, ZS, et al (2011) Has the cyber warfare threat been overstated? A cheap talk game-theoretic perspective on the Google-hacking claim.  The 7th Cyberspace Sciences and Information Intelligence Research Workshop, 7th CSIIRW11. October 14-16, 2011. Oak Ridge National Lab, Oak Ridge, USA.  

 

65.  Ma, ZS et al (2011) Caring about trees in the forest: incorporating frailty in risk analysis for personalized medicine. Personalized Medicine, 8(6): 681-688  

 

66.  Ma, ZS (2010) Is Strategic Information Warfare Really Asymmetric? —a New Perspective from the Handicap Principle. Journal of Information Warfare, 9(3): 51-61.  

 

67.  Ma, ZS (2010) Survival Analysis Approach to Life Table Analysis and Hypothesis Testing for Russian Wheat Aphid Populations. Bulletin of Entomological Research. vol. 100(3): 315-324    

 

68.  Ma, ZS et al (2010) Logics in Animal Cognition: Are They Important to Brain Computer Interfaces (BCI) and Future Space Missions? Proc. 31st IEEE-AIAA Aerospace Conference 2010, 8pp. Big Sky, Montana, USA.   

 

69.  Ma ZS (2010) An integrated approach to network intrusion detection with block clustering analysis, generalised logistic regression and linear discriminant analysis. I. J. Information and Computer Security. DOI: http://dx.doi.org/10.1504/IJICS.2010.03186 

 

70.  Ma ZS (2010) A New Extended Evolutionary Game Theory Approach to Strategic Information Warfare Research. J. of Information Warfare, vol. 8(2).   

 

71.  Ma ZS (2010) Towards a Population Dynamics Theory for Evolutionary Computing: Learning from Biological Population Dynamics in Nature.  Springer Lecture Notes in Artificial Intelligence, vol. 5855, pp 195-205 

 

72.  Ma ZS (2010) Towards an Extended Evolutionary Game Theory with Survival Analysis and Agreement Algorithms for Modeling Uncertainty, Vulnerability, and Deception. Springer Lecture Notes in Artificial Intelligence, vol. 5855, pp 608-618 

 

早期在计算机科学、工程数学领域论文见DBLP数据库系统:

Previous publications in computer science may be found in DBLP and MathSciNet library:

https://dblp.uni-trier.de/pers/hd/m/Ma:Zhanshan_=Sam=

http://genealogy.math.ndsu.nodak.edu/id.php?id=132255 

 

重要研究媒体报道:

菌群医学生态学:用生态之眼看医学

http://news.sciencenet.cn/sbhtmlnews/2018/10/340330.shtm

中美合作Sparc新软件弥补三代基因测序硬伤

http://news.sciencenet.cn/htmlnews/2016/7/350187.shtm

人体菌群多样性与疾病关系的“1/3猜想提出 (新华网, 基金委, ABC NBC等报道)

http://www.xinhuanet.com/2019-03/25/c_1124276083.htm

http://www.nsfc.gov.cn/csc/20340/20343/36702/index.html

https://www.abc6.com/story/40299774/study-reveals-little-evidence-for-a-consistent-diversity-disease-relationship-ddr-in-human-microbiome-associated-diseases

https://www.nbc29.com/story/40299774/study-reveals-little-evidence-for-a-consistent-diversity-disease-relationship-ddr-in-human-microbiome-associated-diseases

预测生物多样性有了新数学模型(科技日报,新华网基金委报道)

http://digitalpaper.stdaily.com/http_www.kjrb.com/kjrb/html/2019-07/04/content_424963.htm?div=-1

http://www.xinhuanet.com//science/2019-07/04/c_138197497.htm

http://www.nsfc.gov.cn/csc/20340/20289/40461/index.html

http://news.sciencenet.cn/htmlnews/2019/7/428054.shtm?id=428054 

研究发现全球温泉有超60000种微生物 (新华社报道、基金委等)

http://www.xinhuanet.com/2019-03/12/c_1124226268.htm

http://tech.gmw.cn/2019-03/13/content_32635495.htm

http://www.chinanews.com/gn/2019/03-12/8778342.shtml

https://www.afpbb.com/articles/-/3215608?act=all&pid=3215608003

http://www.nsfc.gov.cn/csc/20340/20289/36227/index.html

研究揭示温泉菌群空间分布的特征参数

https://molecularecologyblog.com/2019/07/19/summary-from-the-authors-comparative-power-law-analysis-for-the-spatial-heterogeneity-scaling-of-the-hot%E2%80%90spring-microbiomes-by-lianwei-li-and-sam-ma/

精准诊断一类疾病的核心使能技术 

http://news.sciencenet.cn/htmlnews/2017/12/395917.shtm

http://www.cnr.cn/yn/ynkx/20171202/t20171202_524047638.shtml

三代基因测序软件

https://www.infoholicresearch.com/market-updates/hybrid-genome-assembly-technology

http://digitalpaper.stdaily.com/http_www.kjrb.com/kjrb/html/2019-01/18/content_413307.htm?div=-1

http://tech.chinadaily.com.cn/a/201901/18/WS5c412af1a31010568bdc491e.html

https://www.pr.com/press-release/776250

http://www.digitaljournal.com/pr/4141526

http://news.sciencenet.cn/htmlnews/2016/7/350187.shtm  

http://stock.591hx.com/article/2016-06-17/0000988031s.shtml  

http://guba.eastmoney.com/news,cjpl,434957158.html  

http://news.hongzhoukan.com/16/0701/hl221824.html  

http://finance.qq.com/a/20160620/016790.htm    

http://news.cnstock.com/industry/sid_zxk/201608/3870020.htm  

http://stock.hexun.com/2016-06-23/184540860.html  

http://finance.ifeng.com/a/20160617/14498467_0.shtml

http://news.sciencenet.cn/htmlnews/2016/6/348686.shtm 

http://news.sciencenet.cn/htmlnews/2016/7/350187.shtm

  研究团队

  李连伟 (生物信息学,医学生态学) 

  夏尧(生物信息学,医学生态学) 

  李杰(数学、计算生物学) 

  曾丹丹(计算机科学,计算生物学) 

  李文迪(生物信息学、医学) 

  彭淑琴(数理统计、生物信息学) 

  寇贺丹(数理统计、生物信息学) 

  史石岩(数学、计算生物学) 

  陈红菊(数学,客座) 

  叶承曦(计算机科学,客座)     


客座教授

Prof. Aaron Ellison
Senior Research Fellow
Fellow of the Ecological Society of America
Harvard University, USA 
http://harvardforest.fas.harvard.edu/aaron-ellison
Recipient of CAS PIFI (President’s International Fellowship Initiative)
美国哈佛大学 Aaron Ellison 教授  

  Prof. Sharron Quisenberry  
  Vice President of Research and Economic Development  
  Fellow of the Entomological Society of America  
  Iowa State University, USA 
  美国衣阿华州立大学 Sharron Quisenberry 付校长
  
  Prof. Cheng Le (程乐) 
  MD, PhD (Connell University)  
  Vice Director of, 
  China National GeneBank
  中国国家基因库副主任 & 华大基因研究院
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