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MirDIP 4.1-integrative database of human microRNA target predictions.


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 predictions, and was assigned to each unique microRNA-target interaction to provide a unified measure of confidence. We demonstrate that integrating predictions across multiple resources does not cumulate prediction bias toward biological processes or pathways. mirDIP v4.1 is freely available at http://ophid.utoronto.ca/mirDIP/.

SUBMITTER: Tokar T 

PROVIDER: S-EPMC5753284 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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mirDIP 4.1-integrative database of human microRNA target predictions.

Tokar Tomas T   Pastrello Chiara C   Rossos Andrea E M AEM   Abovsky Mark M   Hauschild Anne-Christin AC   Tsay Mike M   Lu Richard R   Jurisica Igor I  

Nucleic acids research 20180101 D1


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  ...[more]

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