miRWalk Edit

Citations: 1

z-index: 0.33

Basic information
Short name miRWalk
Full name
Description a freely accessible, regularly updated comprehensive archive supplying the largest available collection of predicted and experimentally verified miRNA-target interactions, with various novel and unique features to assist the scientific community.
URL http://mirwalk.umm.uni-heidelberg.de/
Year founded 2016
Last update & version 2018 v.2.0
Availability Free to all users
Contact information
University/Institution hosted University of Heidelberg
Address Present affiliation: Division of Bioinformatics and Biostatistics, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, Arizona.
City
Province/State
Country/Region Germany
Contact name (PI/Team) Carsten Sticht
Contact email (PI/Helpdesk) mirwalkteam@medma.uni-heidelberg.de
Data information
Data object
Data type
Database category
Major organism
Keyword
Publications
  • miRWalk: An online resource for prediction of microRNA binding sites. [PMID: 30335862]
    Carsten Sticht, Carolina De La Torre, Alisha Parveen, Norbert Gretz

    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.

    PLoS One 2018:13(10)

    1 Citations (from Europe PMC, 2019-04-13)

  • Obtaining miRNA-Target Interaction Information from miRWalk2.0. [PMID: 27603021]
    Alisha Parveen, Norbert Gretz, Harsh Dweep

    miRWalk2.0 (http://zmf.umm.uni-heidelberg.de/mirwalk2) is a freely accessible, regularly updated comprehensive archive supplying the largest available collection of predicted and experimentally verified miRNA-target interactions, with various novel and unique features to assist the scientific community. Approximately 949 million interactions between 11,748 miRNAs, 308,700 genes, and 68,460 lncRNAs are documented in miRWalk2.0 with 5,146,217 different kinds of identifiers to offer a one-stop site to collect an abundance of information. This article describes a schematic workflow on how to obtain miRNA-target interactions from miRWalk2.0. © 2016 by John Wiley & Sons, Inc.

    Curr Protoc Bioinformatics 2016:55()

    0 Citations (from Europe PMC, 2019-04-13)

Rank

  • Ranking in all databases: No. 3878
  • Ranking in category/categories:
    • Interaction: No. 568
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of miRWalk.

Word cloud

Related Database

Record metadata

  • Created on: 2018-01-28
    • ***ina@***c.cn [2019-01-29]
    • ***d@***c.cn [2019-01-12]
    • ***d@***c.cn [2019-01-12]
    • ***rankhatoon@***u.edu.pk [2018-04-16]

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