Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6807
Title: Computational methods for microRNA target prediction
Authors: Hamzeiy, Hamid
Yousef, Malik
Allmer, Jens
Hamzeiy, Hamid
Allmer, Jens
Izmir Institute of Technology. Molecular Biology and Genetics
Keywords: Bioinformatics
Computational biology
MicroRNAs
Target prediction
Issue Date: 2014
Publisher: Humana Press
Source: Hamzeiy, H., Yousef, M., and Allmer, J. (2014). Computational methods for microRNA target prediction. Methods in Molecular Biology, 1107, 207-221. doi:10.1007/978-1-62703-748-8_12
Abstract: MicroRNAs (miRNAs) are important players in gene regulation. The final and maybe the most important step in their regulatory pathway is the targeting. Targeting is the binding of the miRNA to the mature RNA via the RNA-induced silencing complex. Expression patterns of miRNAs are highly specific in respect to external stimuli, developmental stage, or tissue. This is used to diagnose diseases such as cancer in which the expression levels of miRNAs are known to change considerably. Newly identified miRNAs are increasing in number with every new release of miRBase which is the main online database providing miRNA sequences and annotation. Many of these newly identified miRNAs do not yet have identified targets. This is especially the case in animals where the miRNA does not bind to its target as perfectly as it does in plants. Valid targets need to be identified for miRNAs in order to properly understand their role in cellular pathways. Experimental methods for target validations are difficult, expensive, and time consuming. Having considered all these facts it is of crucial importance to have accurate computational miRNA target predictions. There are many proposed methods and algorithms available for predicting targets for miRNAs, but only a few have been developed to become available as independent tools and software. There are also databases which collect and store information regarding predicted miRNA targets. Current approaches to miRNA target prediction produce a huge amount of false positive and an unknown amount of false negative results, and thus the need for better approaches is evermore evident. This chapter aims to give some detail about the current tools and approaches used for miRNA target prediction, provides some grounds for their comparison, and outlines a possible future.
URI: http://hdl.handle.net/11147/6807
ISSN: 1940-6029
1064-3745
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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