mirDIP 4.1—integrative database of human microRNA target predictions
University Health Network · Krembil Research Institute · +3 more institutions
Abstract
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 mirDIP v4.1, providing nearly 152 million human microRNA-target predictions, which were collected across 30 different resources. We also introduce an integrative score, which was statistically inferred from the obtained…
Citation impact
- FWCI
- 12.49
- Percentile
- 100%
- References
- 102
Authors
8- TTTomáš Tokár
University Health Network, Krembil Research Institute
- CPChiara Pastrello
University Health Network, Krembil Research Institute
- AEAndrea E.M. Rossos
University Health Network, Krembil Research Institute
- MAMark Abovsky
University Health Network, Krembil Research Institute
- AHAnne-Christin Hauschild
University Health Network, Krembil Research Institute
Topics & keywords
- Biology
- microRNA
- Computational biology
- Measure (data warehouse)
- Gene
- Bioinformatics
- Computer science
- Data mining