Unit

UNIT 12.15 Obtaining miRNA-Target Interaction Information from miRWalk2.0

  1. Alisha Parveen1,
  2. Norbert Gretz1,
  3. Harsh Dweep1,2,*

Published Online: 7 SEP 2016

DOI: 10.1002/cpbi.14

Lab Protocol Title

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

Additional Information

How to Cite

Parveen, A., Gretz, N., and Dweep, H. 2016. Obtaining miRNA-target interaction information from miRWalk2.0. Curr. Protoc. Bioinform. 55:12.15.1-12.15.27. doi: 10.1002/cpbi.14

Author Information

  1. 1

    Medical Research Center, Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany

  2. 2

    Present affiliation: Division of Bioinformatics and Biostatistics, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, Arizona

*Corresponding author: harsh.dweep@fda.hhs.gov

Publication History

  1. Published Online: 7 SEP 2016
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Abstract

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.

Keywords:

  • micro RNA;
  • miRNA;
  • database;
  • miRWalk2.0;
  • target predictions;
  • pathways;
  • gene ontologies
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