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miRWalk: An online resource for prediction of microRNA binding sites

PLoS ONE · 2018 · Vol. 13(10) · pp. e0206239–e0206239
Carsten StichtCarolina De La TorreAlisha ParveenNorbert Gretz

Abstract

miRWalk is an open-source platform providing an intuitive interface that generates predicted and validated miRNA-binding sites of known genes of human, mouse, rat, dog and cow. The core of miRWalk is the miRNA target site prediction with the random-forest-based approach software TarPmiR searching the complete transcript sequence including the 5'-UTR, CDS and 3'-UTR. Moreover, it integrates results other databases with predicted and validated miRNA-target interactions. The focus is set on a modular design and extensibility as well as a fast update cycle. The database is available using Python, MySQL and HTML/Javascript Database URL: http://mirwalk.umm.uni-heidelberg.de.

MicroRNA in disease regulationCancer-related molecular mechanisms researchRNA modifications and cancerPython (programming language)microRNAJavaScriptComputational biologyComputer scienceBiologyBioinformaticsProgramming languageGeneGenetics

MeSH terms

AnimalsBinding SitesCattleDogsHumansRNA, Messenger5' Untranslated RegionsInternet3' Untranslated RegionsDatabases, GeneticMicroRNAsMiceRatsGene Regulatory Networks
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