Serves for constructing multi-level gene regulatory networks using ChIP-seq and gene expression data. CMGRN assists users to unveil interrelationships between transcription factors (TFs) or epigenetic modifications and to construct hierarchical regulatory network structures in biological complex systems. Moreover, it enables biologists to analyze the mixture information of ChIP-seq and gene expression levels, using standard data formatted with minimal need of bioinformatics skills.
Department of Biology, Hong Kong Baptist University, Hong Kong, China; Department of Internal Medicine and Biochemistry, Rush University Medical Center, Chicago, IL, USA; Department of Biochemistry and HKU-SIRI, Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Key Laboratory of Acupuncture and Medicine Research of Minister of Education, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
CMGRN funding source(s)
Supported by the Grant of Science Faculty of Hong Kong Baptist University [FRG2/12-13/066], National Nature Science Foundation of China , and Hong Kong Research Grants Council [781511M] and [HKBU5/CRF/11G].