mirDIP : microRNA Data Integration Portal



Explore microRNAs that target a gene, or for genes targeted by a microRNA

Search:
- You may enter a list of HUGO Gene Symbols (case insensitive) or MicroRNAs (in the format hsa-mir-xxx, case sensitive) delimited by: spaces, tabs, commas or semicolons. Rank:
Describes the relative strength of the prediction for a microRNA to gene pair among all the predictions available in a data set. Integrated rank combines ranks from all available databases.

Results download :
- Do not use IE to download search results. Use either Chrome or Firefox browser.

Example search:
- Gene Symbols: akap17a, akr1c2, app, zzz3, mark4
- MicroRNA symbols: hsa-miR-603, hsa-let-7a-3p, hsa-miR-625-5p, hsa-miR-7852-3p, hsa-miR-17-5p
Gene Symbol


or


Micro RNA
Search Options
Score Filter


Minimum Score:  

Use this option to filter Rank in any combination.
Score Range Precision
0.3 - 1 Excellent
0.1 - 0.3 Good
0.05 - 0.1 Fair
0.01 - 0.05 Poor
0 - 0.01 Bad






All contents copyright , Jurisica Lab, Princess Margaret Cancer Centre, Toronto, Canada. Last modified June, 2017. (Version 4.0.1.1)

All downloads and use of this database are subject to the following terms.

Permission to use, copy, and modify this database hereby granted to all academic and not-for-profit institutions without fee, provided that name of organization and author appear in all copies of the database. Under these conditions, the permission to modify and distribute or to make extended versions of the database is explicitly granted to non-profit organizations. All commercial entities willing to download or use the database must contact the authors. This database is provided "AS-IS" and with out any warranty of any kind. In no event shall Ontario Cancer Institute or the authors be liable for any consequential damage of any kind, or any damages resulting from the use of this database.

Reference:
Shirdel EA, Xie W, Mak TW, Jurisica I, 2011 NAViGaTing the Micronome. Using Multiple MicroRNA Prediction Databases to Identify Signalling Pathway-Associated MicroRNAs. PLoS ONE 6(2): e17429. doi:10.1371/journal.pone.0017429