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Updated: Apr 14, 2026

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
Published on: April 6, 2012
mBISON: Finding miRNA target over-representation in gene lists from ChIP-sequencing data
Marie Luise Gebhardt1, Arvind Singh Mer2,3, Miguel Angel Andrade-Navarro4,5,6
1Max Delbrück Center for Molecular Medicine, Berlin, 13125, Germany. marie.gebhardt@mdc-berlin.de.
Background:
Over-representation of predicted miRNA targets in sets of genes regulated by a given transcription factor (e.g. as defined by ChIP-sequencing experiments) helps to identify biologically relevant miRNA targets and is useful to get insight into post-transcriptional regulation.
Findings:
To facilitate the application of this approach we have created the mBISON web-application. mBISON calculates the significance of over-representation of miRNA targets in a given non-ranked gene set. The gene set can be specified either by a list of genes or by one or more ChIP-seq datasets followed by a user-defined peak-gene association procedure. mBISON is based on predictions from TargetScan and uses a randomization step to calculate False-Discovery-Rates for each miRNA, including a correction for gene set specific properties such as 3'UTR length. The tool can be accessed from the following web-resource: http://cbdm.mdc-berlin.de/~mgebhardt/cgi-bin/mbison/home .
Conclusion:
mBISON is a web-application that helps to extract functional information about miRNAs from gene lists, which is in contrast to comparable applications easy to use by everyone and can be applied on ChIP-seq data directly.
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