A tool to build a transcriptional regulatory network composing of histone modification and transcription factor binding in promoters and interactions between factors in these two fields. Given a set of categorized genes, EpiRegNet would find the factors which contribute most to the difference in the gene expression level based on the statistic tests on the enrichment of each factor in gene promoters. Furthermore, the tool perform correlation tests to study the relation between these factors, and draw the regulatory network to declare their cooperative or competitive roles in activation or repression of gene expression.
Department of Biochemistry, Li Ka Shing Faculty of Medicine, The University of Hong Kong
EpiRegNet funding source(s)
EpiRegNet was supported by University Postgraduate Fellowships from the University of Hong Kong, the Research Grants Council of Hong Kong (N_HKU752/10, 781511M, 778609M, AoE M04/04), and Food and Health Bureau of Hong Kong (10091262).