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miRDB is an online database for miRNA target
prediction and functional annotations. All the targets in miRDB were
predicted by a bioinformatics tool, MirTarget, which was developed by
analyzing thousands of miRNA-target interactions from high-throughput
sequencing experiments. Common features associated with miRNA binding
and target downregulation have been identified and used to predict
miRNA targets with machine learning methods. miRDB hosts predicted miRNA targets in five species:
human, mouse, rat, dog and chicken. As a recent update, users may
provide their own sequences for customized target prediction. In
combined computational analyses and literature mining, functionally
active miRNAs in humans and mice were identified. These miRNAs, as well
as associated functional annotations, are presented in the FuncMir
Collection in miRDB.
- Weijun Liu and Xiaowei Wang (2019) Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data.
Genome Biology. 20:18.
- Nathan Wong and Xiaowei Wang (2015) miRDB: an online
resource for microRNA target prediction and functional annotations.
Acids Research. 43(D1):D146-152.