I will keep updating this list of publications. More to come soon…

1. Qi S, Jiyoung L, Shamima A, Ruth G, Song L. Accurate prediction of condition-specific regulatory maps in Arabidopsis using integrated genomic data. (under review)
2. Qi S, Nathan S. Catlin, W. Brad B, Song L. Computational Analysis of Alternative Splicing in Plant Genomes. Gene. 2018, 685:186-195.
3. Qi S., Ruth G., Lenwood H., Song L. Identification of regulatory modules in genome scale transcription regulatory networks. BMC Syst Biol. 2017, 11:140.
4. Li G, Lichun X, Qi S, Fengji W, Huaqin H, Zhongyi Z. Classification of the fragrant styles and evaluation of the aromatic quality of flue-cured tobacco leaves by machine-learning methods. Journal of bioinformatics and computational biology. 2016, 14 (06), 1650033.
5. Shiwei M., Qi S., Huan T., Andrew H., Shaobo W., Wei L., Shoukai L., Yufang A., and Huaqin H.Prediction of protein–protein interactions between fungus (Magnaporthe grisea) and rice (Oryza sativa L.). Briefings in Bioinformatics. 2017,1-9
6. Shoukai, L., Qi, S., Huan T., Wei W., Weifeng W., Jian H., Chaoqun X., Vivien C., Justine K., Shufu Q., Andrew H., Huaqin H. (2015). Rice_Phospho 1.0: a new rice-specific SVM predictor for protein phosphorylation sites. Scientific Reports, 5:11940. DOI: : 10.1038/srep1194
7. Yongfei W., Shoukai L., Qi S., Kuan L., Huan T., Jian H., Xinhai C., Shufu Q., Huaqin H. Genome-wide identification of heat shock proteins (Hsps) and Hsp interactors in rice: Hsp70s as a case study. BMC Genomics, 15 (1), 344. DOI: https://doi.org/10.1186/1471-2164-15-344