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Nucleic Acids Research|December 11, 2013
SIOMICS: a novel approach for systematic identification of motifs in ChIP-seq dataJun Ding, Haiyan Hu, Xiaoman Li
Bioinformatics (Oxford, England)|October 14, 2017
CCmiR: a computational approach for competitive and cooperative microRNA binding predictionJun Ding, Xiaoman Li, Haiyan Hu
Bioinformatics (Oxford, England)|December 21, 2014
MicroRNA modules prefer to bind weak and unconventional target sitesJun Ding, Xiaoman Li, Haiyan Hu
Bioinformatics (Oxford, England)|May 22, 2016
TarPmiR: a new approach for microRNA target site predictionJun Ding, Xiaoman Li, Haiyan Hu
Plant Physiology|November 8, 2011
Thousands of cis-regulatory sequence combinations are shared by Arabidopsis and poplarJun Ding, Haiyan Hu, Xiaoman Li
Methods (San Diego, Calif.)|August 31, 2014
Systematic discovery of cofactor motifs from ChIP-seq data by SIOMICSJun Ding, Vikram Dhillon, Xiaoman Li, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 21, 2013
ChIPModule: systematic discovery of transcription factors and their cofactors from ChIP-seq dataJun Ding, Xiaohui Cai, Ying Wang, et al.
Plant Molecular Biology|June 27, 2012
Motif analysis unveils the possible co-regulation of chloroplast genes and nuclear genes encoding chloroplast proteinsYing Wang, Jun Ding, Henry Daniell, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 10, 2019
Improving miRNA Target Prediction Using CLASH DataXiaoman Li, Haiyan Hu
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