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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| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
October18, 2018
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| In: |
PLOS ONE
Year: 2018, Jahrgang: 13, Heft: 10 |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0206239 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1371/journal.pone.0206239 Verlag, lizenzpflichtig, Volltext: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193719/ 
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| Verfasserangaben: | Carsten Sticht, Carolina De La Torre, Alisha Parveen, Norbert Gretz |
| Zusammenfassung: | 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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| Beschreibung: | Gesehen am 15.04.2020 |
| Beschreibung: | Online Resource |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0206239 |