miRWalk: An online resource for prediction of microRNA binding sites

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 th...

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Detalles Bibliográficos
Autores principales: Sticht, Carsten, De La Torre, Carolina, Parveen, Alisha, Gretz, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193719/
https://www.ncbi.nlm.nih.gov/pubmed/30335862
http://dx.doi.org/10.1371/journal.pone.0206239
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author Sticht, Carsten
De La Torre, Carolina
Parveen, Alisha
Gretz, Norbert
author_facet Sticht, Carsten
De La Torre, Carolina
Parveen, Alisha
Gretz, Norbert
author_sort Sticht, Carsten
collection PubMed
description 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.
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spelling pubmed-61937192018-11-05 miRWalk: An online resource for prediction of microRNA binding sites Sticht, Carsten De La Torre, Carolina Parveen, Alisha Gretz, Norbert PLoS One Research Article 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. Public Library of Science 2018-10-18 /pmc/articles/PMC6193719/ /pubmed/30335862 http://dx.doi.org/10.1371/journal.pone.0206239 Text en © 2018 Sticht et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sticht, Carsten
De La Torre, Carolina
Parveen, Alisha
Gretz, Norbert
miRWalk: An online resource for prediction of microRNA binding sites
title miRWalk: An online resource for prediction of microRNA binding sites
title_full miRWalk: An online resource for prediction of microRNA binding sites
title_fullStr miRWalk: An online resource for prediction of microRNA binding sites
title_full_unstemmed miRWalk: An online resource for prediction of microRNA binding sites
title_short miRWalk: An online resource for prediction of microRNA binding sites
title_sort mirwalk: an online resource for prediction of microrna binding sites
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193719/
https://www.ncbi.nlm.nih.gov/pubmed/30335862
http://dx.doi.org/10.1371/journal.pone.0206239
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