Plant metabolomics
Developing methods for large-scale LC-MS data, metabolite annotation, origin inference and functional module analysis.
We explore plant metabolomics, multi-omics integration and crop quality through open, reproducible methods and software.
Lecturer · College of Life Sciences / Houji Laboratory, Shanxi Agricultural University
Developing methods for large-scale LC-MS data, metabolite annotation, origin inference and functional module analysis.
Integrating metabolomes, transcriptomes and genetic variation to investigate specialized metabolism and crop quality.
Turning bioinformatics methods into accessible, reusable research tools with R, Shiny and reproducible workflows.
Wang, X., Liu, Y., Jiang, C., Huang, Z., Yan, H., Wong, S. H., Johnson, C. H., Zhang, J., Ge, Y., Zhang, F., Zhang, J., Lai, R., Gao, P., Zhang, X., & Shen, X.
Nature Communications, 17(1), 1755 First author
Wang, X., Liang, S., Yang, W., Yu, K., Liang, F., Zhao, B., Zhu, X., Zhou, C., Mur, L. A. J., Roberts, J. A., Zhang, J., & Zhang, X.
Journal of Integrative Plant Biology, 66(11), 2329-2345 First author
Chang, Y., Shi, M., Wang, X., Cheng, H., Zhang, J., Liu, H., Wu, H., Ou, X., Yu, K., Zhang, X., Day, B., Miao, C., Zhao, Y., & Jiang, K.
The Plant Cell, 37(4), koaf064 Co-first author
For conversations about plant metabolism, multi-omics and research software.