miRDB: an online resource for microRNA target prediction and functional annotations

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ID: 291437
2014
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Abstract
MicroRNAs (miRNAs) are small non-coding RNAs that are extensively involved in many physiological and disease processes. One major challenge in miRNA studies is the identification of genes regulated by miRNAs. To this end, we have developed an online resource, miRDB (http://mirdb.org), for miRNA target prediction and functional annotations. Here, we describe recently updated features of miRDB, including 2.1 million predicted gene targets regulated by 6709 miRNAs. In addition to presenting precompiled prediction data, a new feature is the web server interface that allows submission of user-provided sequences for miRNA target prediction. In this way, users have the flexibility to study any custom miRNAs or target genes of interest. Another major update of miRDB is related to functional miRNA annotations. Although thousands of miRNAs have been identified, many of the reported miRNAs are not likely to play active functional roles or may even have been falsely identified as miRNAs from high-throughput studies. To address this issue, we have performed combined computational analyses and literature mining, and identified 568 and 452 functional miRNAs in humans and mice, respectively. These miRNAs, as well as associated functional annotations, are presented in the FuncMir Collection in miRDB.
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openalex_W2123250471 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nathan Wong, Xiaowei Wang
Journal Nucleic Acids Research
Year 2014
DOI
10.1093/nar/gku1104
URL
https://academic.oup.com/nar/article-pdf/43/D1/D146/17436364/gku1104.pdf
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