Paper Info
Title
Mirdb: An Online Database For Prediction Of Functional Microrna Targets
Abstract
MicroRNAs (miRNAs) are small noncoding RNAs that act as master regulators in many biological processes. miRNAs function mainly by downregulating the expression of their gene targets. Thus, accurate prediction of miRNA targets is critical for characterization of miRNA functions. To this end, we have developed an online database, miRDB, for miRNA target prediction and functional annotations. Recently, we have performed major updates for miRDB. Specifically, by employing an improved algorithm for miRNA target prediction, we now present updated transcriptome-wide target prediction data in miRDB, including 3.5 million predicted targets regulated by 7000 miRNAs in five species. Further, we have implemented the new prediction algorithm into a web server, allowing custom target prediction with user-provided sequences. Another new database feature is the prediction of cell-specific miRNA targets. miRDB now hosts the expression profiles of over 1000 cell lines and presents target prediction data that are tailored for specific cell models. At last, a new web query interface has been added to miRDB for prediction of miRNA functions by integrative analysis of target prediction and Gene Ontology data.
Year
DOI
Venue
2020
10.1093/nar/gkz757
NUCLEIC ACIDS RESEARCH
DocType
Volume
Issue
Journal
48
D1
ISSN
Citations 
PageRank 
0305-1048
5
0.42
References 
Authors
0
2
Name
Order
Citations
PageRank
Yuhao Chen171.14
Xiao-Wei Wang259659.78