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Bradley, Thomas and Moxon, Simon 
ORCID: https://orcid.org/0000-0003-4644-1816
(2017)
An assessment of the next generation of animal miRNA target prediction algorithms.
In:
MicroRNA Detection and Target Identification.
Methods in Molecular Biology
.
Springer, pp. 175-191.
ISBN 978-1-4939-6864-0
Abstract
The advent of genome-wide next-generation sequencing technologies has revolutionized the genomic and transcriptomic fields. New technologies also present an opportunity for greater discovery and understanding of post-transcriptional processes, in particular, translational inhibition of transcripts by miRBP (microRNA-RNA binding protein) complexes. Not only have novel methodologies been developed for the direct sequencing of RBP-bound RNA, but a new class of miRNA (microRNA) target prediction algorithms trained on this data has emerged. In this article, we will explore and evaluate the next generation of animal miRNA target prediction algorithms, their relationship to more traditional prediction methods, and the implications of such methodologies for the future of miRNA target prediction and miRNA research as a whole.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | mirna,mirna target prediction |
| Faculty \ School: | Faculty of Science > School of Biological Sciences |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 11 Jan 2017 00:07 |
| Last Modified: | 21 Oct 2022 23:59 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/62003 |
| DOI: | 10.1007/978-1-4939-6866-4_13 |
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