Identifies m6A-driven genes and their associated networks. m6A-Driver utilizes protein-protein interaction (PPI) networks to identify functional meaningful differentially m6A methylated genes and overcomes the biases in predicting functional enrichment of sites due to different sample replicates. It is able to identify mDrGenes that are more functional relevant. The tool generates a condition-specific m6A-driven network that reveals the detailed functional circuitry underlying the biological condition.
School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi, China; Department of Biological Sciences, HRINU, SUERI, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China; Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA
m6A-Driver funding source(s)
Supported by the National Natural Science Foundation of China (61473232, 91430111 and 61170134); the National Natural Science Foundation of China (61401370); and the National Institutes of Health (R01GM113245).