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Biology|May 17, 2014
Analyzing the microRNA Transcriptome in Plants Using Deep Sequencing DataXiaozeng Yang, Lei LiBioinformatics (Oxford, England)|July 22, 2011
miRDeep-P: a computational tool for analyzing the microRNA transcriptome in plantsXiaozeng Yang, Lei LiThe Plant Journal : for Cell and Molecular Biology|January 18, 2012
Alternative mRNA processing increases the complexity of microRNA-based gene regulation in ArabidopsisXiaozeng Yang, Huiyong Zhang, Lei LiGenomics|April 9, 2011
Global analysis of gene-level microRNA expression in Arabidopsis using deep sequencing dataXiaozeng Yang, Huiyong Zhang, Lei LiJournal of Visualized Experiments : Jove|February 18, 2020
A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in PlantsYing Wang, Zheng Kuang, Lei Li, et al.Bioinformatics (Oxford, England)|December 7, 2018
miRDeep-P2: accurate and fast analysis of the microRNA transcriptome in plantsZheng Kuang, Ying Wang, Lei Li, et al.Briefings in Bioinformatics|March 23, 2021
MicroRNA annotation in plants: current status and challengesYongxin Zhao, Zheng Kuang, Ying Wang, et al.International Journal of Molecular Sciences|November 26, 2022
Identification of Species-Specific MicroRNAs Provides Insights into Dynamic Evolution of MicroRNAs in PlantsZhonglong Guo, Zheng Kuang, Yang Deng, et al.Bioinformatics (Oxford, England)|March 18, 2009
Transcriptionally active gene fragments derived from potentially fast-evolving donor genes in the rice genomeXiangfeng Wang, Zhihui Yu, Xiaozeng Yang, et al.BMC Genomics|December 11, 2012
Asymmetric purine-pyrimidine distribution in cellular small RNA population of papayaRishi Aryal, Xiaozeng Yang, Qingyi Yu, et al.Pageof 903