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MicroRNAs are important regulators of gene expression, achieved by binding to the gene to be regulated. Even with modern high-throughput technologies, it is laborious and expensive to detect all possible microRNA targets. For this reason, several computational microRNA-target prediction tools have been developed, each with its own strengths and limitations. Integration of different tools has been a successful approach to minimize the shortcomings of individual databases. Here, we present mirDIPdoi:10.1093/nar/gkx1144 pmid:29194489 pmcid:PMC5753284 fatcat:4avz62zhafdvjen3c3tsgwtr3q