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王向峯

(中國農業大學農學院教授)

鎖定
王向峯,男,博士,中國農業大學作物基因組與生物信息學系教授、博士生導師
中文名
王向峯
畢業院校
北京大學
學位/學歷
博士
專業方向
生物信息學
任職院校
中國農業大學

王向峯人物經歷

2014.6 - 中國農業大學,農學與生物技術學院,教授,博導。
2010.8 - 2014.6. 美國亞利桑那大學,農業與生命科學學院,助理教授 (tenure-track Assistant Professor)
2008.12 - 2010.8. 美國哈佛大學,公共健康學院,博士後 (Postdoctoral associate)
2007.9 - 2008.12. 美國耶魯大學,分子細胞發育生物學系,博士後(Postdoctoral associate)
2006.6– 2007.6. 美國耶魯大學,分子細胞發育生物學系,交流學生(Monsanto fellowship)
2002.9 – 2007.6 北京大學,生命科學院,生物信息學,博士
1998.9 – 2002.7 中國農業大學,生物學院,生物科學,學士 [1] 

王向峯教學工作

植物基因組學 [1] 

王向峯研究方向

實驗室主要從事植物基因組學、表觀遺傳學系統生物學方面的研究,並開發了一系列生物計算模型和生物信息學軟件。其領導的研究團隊在系統生物學的層面上開展了一系列的原創性研究。主要研究課題和已發表成果包括:(1)開發了基因組拼接、可視化比較基因組分析、基因表達調控網絡構建與預測等一系列生物信息學軟件和算法;(2)十字花科鹽鹼生植物基因組進化及其抗逆基因的挖掘和功能驗證;(3)玉米胚乳早期發育調控網絡的構建和玉米胚乳中基因組印跡機制的研究;(4)小麥染色體缺失系轉錄組測序與小麥異源多倍體中不同親本基因組間的相互作用的研究;(5)應用人工智能中機器學習方法學體系在植物中進行大規模生物數據整合、調控網絡構建與優質抗逆基因的預測和功能篩選。 [1] 

王向峯發表論文

現發表論文38篇,包括通訊作者論文13篇,
1. Ma C, Zhang H, Wang X,Machine Learning for Big Data Analytics in Plants. Trends in Plant Science. 2014 In press. (IF: 13.479)
2. Thakare D,Yang R, Steffen J, Zhan J, Wang D, Clark R, Wang X, Yadegari R. RNA-Seq analysis of laser-capture microdissected cells of the developing central starchy endosperm of maize. Genomics Data. (2014), pp. 242-245
3. Xin M, Yang R, Yao Y, Ma C, Peng H, Sun Q, Wang X,Ni Z Dynamic parent-of-origin effects on small interfering RNA expression in the developing maize endosperm. BMC Plant Biology. 2014;14(1) (IF: 3.94)
4. Zhang Y, Yu N, Huang Q, Yin G, Guo A, Wang X, Xiong Z, Liu Z. Complete genome of Hainan papaya ringspot virus using small RNA deep sequencing. Virus Genes. 2014; 48(3):502-8 (IF:1.837)
5. Li G, Wang D, Yang R, Logan K, Chen H, Zhang S, Skaggs MI, Lloyd A, Burnett WJ, Laurie JD, Hunter BG, Dannenhoffer JM, Larkins BA,Drews GN, Wang X Yadegari R. Temporal patterns of gene expression in developing maize endosperm identified through transcriptome sequencing. PNAS. 2014 (5-Yr IF: 10.6)
6. Ma C, Xin M, Feldmann KA, Wang XMachine Learning-Based Differential Network Analysis: A Study of Stress-Responsive Transcriptomes in Arabidopsis. Plant Cell. 2014 Feb 11. (5-Yr IF: 10.125)
7. Xin M, Yang R, Li G, Chen H, Laurie J, Ma C, Wang D, Yao Y, Larkins B, Sun Q, Yadegari, R, Wang Xand Ni Z. Dynamic expression of imprinted genes associates with maternally controlled nutrient allocation during maize endosperm development. (2013) 25(9):3212-27; Plant Cell (5-Yr IF: 10.125)
8. Chen, H and Wang, X. CrusView: a Java-based visualization platform for comparative genomics analyses in Brassicaceae species. (2013) Plant Physiology; 163(1):354-62 (Five-Year Impact Factor: 7.084)
9. Wei, X and Wang, X. A computational workflow to identify allele-specific expression and epigenetic modification in maize. (2013) Genomics Proteomics & Bioinformatics; 11(4): 247-52 (Impact Factor: Not Available Yet)
10. Yang R, Chen H, Jarvis D, Beilstein M, Grimwood J, Jenkins J, Shu S, Prochnik S, Xin M, Ma C, Schmutz J, Wing R, Mitchell-Olds T, Schumaker K, Wang X. The reference genome of the halophytic plant Eutrema salsugineum. (2013) Frontier in Plant Sciences; 4:46 (IF: 3.637)
11. Ma C, Chen H, Yang R, Xin M, Wang X. KGBassembler: A karyotype-based genome assembler for Brassicaceae species. (2012) Bioinformatics; 28(23):3141-3 (Five-Year Impact Factor: 6.911)
12. Yang R and Wang XOrgan evolution in angiosperms driven by correlated divergences of gene sequences and expression patterns. (2012) The Plant Cell; 25(1):71-82 (Five-Year Impact Factor: 10.125)
13. Ma C and Wang XApplication of the Gini correlation coefficient to infer regulatory relationships in transcriptome analysis. (2012) Plant Physiology;160(1):192-203 (Five-Year Impact Factor: 7.084)
14. Xin M, Wang X, Peng H, Yao Y, Xie C, Han Y, Ni Z, Sun Q. Transcriptome comparison of susceptible and resistant wheat in response to powdery mildew infection. (2012) Genomics, Proteomics & Bioinformatics; 10(2):94-106 (Impact Factor: Not Available Yet)
15. Wang X and Liu XS. Systematic curation of miRBase microRNA annotation using integrated deep small RNA sequencing data for C. elegans and Drosophila. (2011) Frontiers in Genetics; 2:25. (Impact Factor: Not Available Yet)
16. Wang XLaurie J, Liu T, Wentz J, Liu XS. Computational dissection of Arabidopsis smRNAome leads to discovery of RNA interference machinery associated with transcription start sites. (2011). Genomics; 97(4):235-43. (Cover Story) (Impact Factor: 3.010)
17. Zhang H, He H, Wang X, Li L and Deng X. Genome-wide identification of Hy5 binding sites in Arabidopsis. (2011). The Plant Journal; 65(3):346-58 (2012 Impact Factor: 6.582)
18. He H, Zhang H, Wang X, Wu N, Yang X, Chen R, Li Y, Deng XW and Li L. Development of a versatile, target-oriented tiling microarray assay for measuring allele-specific gene expression. (2010). Genomics; 96(5):308-15 (2012 Impact Factor: 3.010)
19. He G, Zhu X, Elling AA, Chen L, Wang X, Guo L, Liang M, He H, Zhang H, Chen F, Qi Y, Chen R and Deng XW. Global Epigenetic and Transcriptional Trends among Two Rice Subspecies and Their Reciprocal Hybrids. (2010). The Plant Cell; 22:17-33. (Five-Year Impact Factor: 10.125)
20. Zhou J, Wang X, He K, Stocl V, Tongprasit W, Elling A, Charron J, Deng XW. Genome-wide profiling of histone H3 lysine 9 acetylation and dimethylation in Arabidopsis reveals correlation between multiple histone marks and gene expression. (2010). Plant Molecular Biology; 72:6, 585-595 (2012 Impact Factor: 3.518)
21. Wang X*, Elling A*, Li X*, Li L*, Charron J, Martinessen R, Wang J, Peng Z, Qi Y, Liu XS and Deng X. Genome-wide and organ-specific landscapes of epigenetic modifications and their relationships to mRNA and smRNA transcriptomes in maize. (2009). The Plant Cell; 21(4): 1053–1069 (Five-Year Impact Factor: 10.125)
22. Wang X*, Yu Z*, Deng XW, Li L. Transcriptionally active gene fragments derived from potentially fast-evolving donor genes in the rice genome. (2009). Bioinformatics; 15;25(10): 1215-1218. (Five-Year Impact Factor: 6.911)
23. Li X*, Wang X*, He K, Ma Y, Su N, He H, Stolc V, Tongprasit W, Jin W, Jiang J, Terzaghi W, Li S & Deng XW. High-resolution mapping of epigenetic modifications of the rice genome uncovers interplay between DNA methylation, histone methylation, and gene expression. (2008). The Plant Cell; 20: 259-276 (Five-Year Impact Factor: 10.125)
24. Wang X. Statistical Analysis of Tiling-path microarrays. (2008) A Chapter for the book: Oligonucleotide Array Sequence Analysis; NOVA Science Publisher, New York, USA ISBN: 978-1-60456-542-3
25. Peng Z, Zhang H, Liu T, Dzikiewicz K, Li S, Wang X, Hu G, Zhu Z, Wei X, Zhu Q, Sun Z,Ge S, Ma L, Li L and Deng XW. Characterization of the genome expression trends in the heading-stage panicle of six rice lineages. (2008). Genomics; 93: 169-178; (Impact Factor: 3.010)
26. Yin BL, Guo L, Zhang DF, Terzaghi W, Wang X, Liu TT, He H, Cheng ZK and Deng XW. Integration of Cytological Features with Molecular and Epigenetic Properties of Rice Chromosome 4. (2008). Molecular Plant; 1: 816-829; (2012 Impact factor: 6.126)
27. Zhang HY, He H, Chen LB, Li L, Liang MZ, Wang X, Liu XG, He GM, Chen RS, Ma LG, and Deng XW. A Genome-Wide Transcription Analysis Reveals a Close Correlation of Promoter INDEL Polymorphism and Heterotic Gene Expression in Rice Hybrids. (2008) Molecular Plant; 1: 720-731; (2012 Impact factor: 6.126)
28. Li L, He H, Zhang J, Wang X, Bai S, Stolc V, Tongprasit W, Young ND, Yu O, Deng XW. Transcriptional analysis of highly syntenic regions between Medicago truncatula and Glycine max using tiling microarrays. (2008). Genome Biology; 19;9(3):R57 (2012 Impact Factor: 10.288)
29. Li L*, Wang X*, Sasidharan R., Stolc V, Deng W, He H, Korbel J, Chen X, Tongprasit W, Ronald P, Chen R, Gerstein M, Deng XW. Global identification and characterization of transcriptionally active regions in the rice genome. (2007). PLoS ONE; 2(3): e294 (Five-Year Impact Factor: 4.244)
30. Zhou J*, Wang X*, Jiao Y, Qin Y, Liu X, He K, Chen C, Ma L, Wang J, Xiong L, Zhang Q, Fan L, Deng XW. Global genome expression analysis of rice in response to drought and high-salinity stresses in shoot, flag leaf, and panicle. (2007). Plant Molecular Biology; 63(5):591-608. (2012 Impact Factor: 3.518)
31. Wang X*, He H*, Li L, Chen R, Deng XW, Li S. NMPP: a user-customized NimbleGen microarray data processing pipeline. (2006) Bioinformatics; 22(23): 2955-2957; (Five-Year Impact Factor: 6.911)
32. Wang X*, Li L*, Chen C, Wang J, Li S, and Deng XW. Analysis of oligo hybridization properties by high-resolution tiling arrays in rice. (2006) Proceeding report, 5th International Rice Genetics Symposium; 65-76. 19-23;
33. Li L*, Wang X*, Stolc V, Li X, Zhang D, Su N, Tongprasit W, Li S, Cheng Z, Wang J, Deng XW. Genome-wide transcription analyses in rice using tiling microarrays. (2006) Nature Genetics; 38: 124-129. (2012 Impact Factor: 35.209)
34. Li L*, Wang X*, Xia M, Stolc V, Su N, Peng Z, Li S, Wang J, Wang X, Deng XW. Tiling microarray analysis of rice chromosome 10 to identify the transcriptome and relate its expression to chromosomal architecture. (2005) Genome Biology; 6(6):R52. (2012 Impact Factor: 10.288)
35. Stolc V*, Li L*, Wang X*, Li X, Su N, Tongprasit W, Han B, Xue Y, Li J, Snyder1 M, Gerstein M, Wang J, Deng XW. A pilot study of transcription unit analysis in rice using tiling-path microarray. (2005) Plant Molecular Biology; 59(1):137–14 (2012 Impact Factor: 3.518)
36. Ma L, Chen C, Liu X, Jiao Y, Su N, Li L, Wang X, Cao M, Sun N, Zhang X, Bao J, Li J, Pedersen S, Bolund L, Zhao H, Yuan L, Wong GKS, Wang J, Deng XW, Wang J. A microarray analysis of the rice transcriptome and its comparison to Arabidopsis. (2005). Genome Research; 15(9):1274-1283 (2012 Impact Factor: 14.397)
37. Jiao Y*, Jia P*, Wang X*, Su N, Yu S, Zhang D, Ma L, Feng Q, Jin Z, Li L, Xue Y, Cheng Z, Zhao H, Han B, Deng XW. A Tiling Microarray Expression Analysis of Rice Chromosome 4 Suggests a Chromosome-Level Regulation of Transcription. (2005) The Plant Cell; 17(6):1641-57. Epub 2005 Apr 29 (Cover Story) (Five-Year Impact Factor: 10.125)
38. Li L, Wang X*, Li X, Su N, Stolc V, Han B, Li J, Xue Y, Wang J, Deng XW. Toward genome-wide transcriptional analysis in rice using MAS oligonucelotide tiling-path microarrays. (2005). Rice Is Life: Scientific Perspectives for World Rice Research. [1] 
參考資料