闫军

闫军，男，中国农业大学农学院/国家玉米改良中心副教授，博士生导师。研究方向为植物基因组学与生物信息学。主要应用机器学习和人工智能技术开展全基因组选择和智能设计育种模型研究、进行大规模种质资源基因挖掘和调控模式研究、以及开发新型多组学数据挖掘工具和软件。以通讯作者或第一作者身份在Trends in Plant Science、Nature Communications、Genome Biology、Molecular Plant、New Phytologist、Plant Journal、Bioinformatics等国际主流期刊发表文章多篇。

课题组招收我校“生物科学”与“生物育种”强基计划学生。辅修过我校信电学院的“数据科学与大数据技术（辅修）”专业的学生，可以被优先考虑进入实验室开展轮转课题，以及作为推免生提前开展硕博阶段的工作。强基计划学生可以在大一下学期考虑辅修“数据科学与大数据技术”相关课程，包括：Linux应用基础与实验、程序设计I与实验、数据库原理与实验、Web技术应用与实验、计算机系统基础与实验、程序设计I与实验、数据结构与算法实验、大数据统计方法与实验、大数据挖掘技术与实验、大数据存储处理技术与实验、大数据分析与可视化技术与实验、人工智能技术与实验。

研究方向为植物基因组学与生物信息学。主要应用机器学习和人工智能技术开展全基因组选择和智能设计育种模型研究、进行大规模种质资源基因挖掘和调控模式研究、以及开发新型多组学数据挖掘工具和软件。

发表论文

1. Liu S, Yang J, Yin C, Mao S, Cheng Q, Yan J, Jiang C, Wang X, Liang X, Zhao H. Identification of salt responsive genetic variants using cross-condition multi-omics association analysis in maize. Plant Communications, 2025.

2. Xu F, Cheng Q, Liu S, Jiang S, Zhang J, Mao X, Wang X, Lai J#, Yan J#. MRBIGR: a versatile toolbox for genetic regulation inference from population-scale multi-omics data. Plant Communications, 2025.

3. Ren Y*, Liao H*, Yan J*, Lu H*, Mao X*, Wang C, Li YF, Liu Y, Chen C, Chen L, Wang X, Zhou KY, Liu HM, Liu Y, Hua YM, Yu L, Xue Z. Capture of RNA-binding proteins across mouse tissues using HARD-AP. Nature Communications, 2024, 15(1):8421.

4. Xu F, Liu S, Zhao A, Shang M, Wang Q, Jiang S, Cheng Q, Chen X, Zhai X, Zhang J, Wang X#, Yan J#. iFLAS: positive-unlabeled learning facilitates full-length transcriptome-based identification and functional exploration of alternatively spliced isoforms in maize. New Phytologist, 2024, 241(6): 2606-2620.

5. Wang Q, Jiang S, Li T, Qiu Z, Yan J, Fu R, Ma C, Wang X, Jiang S, Cheng Q. G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction. Frontiers in Plant Science, 2023, 14:1207139.

6. Yan J, Wang X. Machine learning bridges omics sciences and plant breeding. Trends in Plant Science, 2023, 28(2): 199-210.

7. Yan J, Wang X. Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology. Plant Journal, 2022,111: 1527-1538.

8. Liu S, Xu F, Xu Y, Wang Q, Yan J, Wang J, Wang X, Wang X. MODAS: exploring maize germplasm with multi-omics data association studies. Science Bulletin, 2022, 67(9): 903-906.

9. Yang C*, Yan J*, Jiang S, Li X, Min H, Wang X, Hao D. Resequencing 250 soybean accessions: new insights into genes associated with agronomic traits and genetic networks. Genomics, Proteomics & Bioinformatics, 2022, 20(1): 29-41.

10. Yan J, Xu Y, Cheng Q, Jiang S, Xiao Y, Ma C, Yan J B, Wang X. LightGBM: Accelerated genomically designed crop breeding through ensemble learning. Genome Biology, 2021, 22(1): 1-24.

11. Xiao Y, Jiang S, Cheng Q, Wang X, Yan J, Zhang R, Qiao F, Ma C, Luo J, Li W, Liu H, Yang W, Song W, Meng Y, Warburton M L, Zhao J, Wang X, Yan J B. The genetic mechanism of heterosis utilization in maize improvement. Genome Biology, 2021, 22(1): 1-29.

12. Yan J, Zhai H, Zhu L, Sa S, Ding X. obaDIA: one-step biological analysis pipeline for data-independent acquisition and other quantitative proteomics data. Bioinformatics, 2021, 37(14): 2066-2067.

13. CNCB-NGDC Members and Partners. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021. Nucleic Acids Research, 49(D1):D18-D28.

14. Yan J, Zou D, Li C, Zhang Z, Song S, Wang X. SR4R: An integrative SNP resource for genomic breeding and population research in rice. Genomics, Proteomics & Bioinformatics, 2020, 18(2): 173–185.

15. Jiang S, Cheng Q, Yan J, Fu R, Wang X. Genome optimization for improvement of maize breeding. Theoretical and Applied Genetics, 2020, 133:1491–1502.

16. Liang P, Liu S, Xu F, Jiang S, Yan J, He Q, Liu W, Lin C, Zheng F, Wang X, Miao W. Powdery mildews are characterized by contracted carbohydrate metabolism and diverse effectors to adapt to obligate biotrophic lifestyle.Frontiers in Microbiology, 2018, 9:3160.

17. He L, Fu S, Xu Z, Yan J, Xu J, Zhou H, Zhou J, Chen X, Li Y, Au K F, Yao H. Hybrid sequencing of full-length cDNA transcripts of stems and leaves in Dendrobium officinale. Genes, 2017, 8(10):257.

18. Yan J, Lv S, Hu M, Gao Z, He H, Ma Q, Deng X W, Zhu Z, Wang X. Single-molecule sequencing assists genome assembly improvement and structural variation inference. Molecular Plant, 2016, 9(7): 1085–1087.

19. Li A, Liu D, Wu J, Zhao X, Hao M, Geng S,Yan J, Jiang X, Zhang L, Wu J, Yin L, Zhang R, Wu L, Zheng Y, Mao L. mRNA and small RNA transcriptomes reveal insights into dynamic homoeolog regulation of allopolyploid heterosis in nascent hexaploid wheat. Plant Cell, 2014, 26(5): 1878–1900.

20. Yan J, Cai Z. Molecular evolution and functional divergence of the cytochrome P450 3(CYP3) family in Actinopterygii (ray-finned fish). PLoS ONE, 2010, 5(12): 1–10.