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An Assessment of the Next Generation of Animal miRNA Target Prediction Algorithms

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MicroRNA Detection and Target Identification

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1580))

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.

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Authors and Affiliations

  1. School of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, UK

    Thomas Bradley & Simon Moxon

  2. Earlham Institute, Norwich Research Park, Norwich, NR4 7UG, UK

    Thomas Bradley & Simon Moxon

Authors
  1. Thomas Bradley
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  2. Simon Moxon
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Corresponding author

Correspondence to Simon Moxon .

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Editors and Affiliations

  1. School of Biological Sciences, University of East Anglia, Norwich, United Kingdom

    Tamas Dalmay

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Bradley, T., Moxon, S. (2017). An Assessment of the Next Generation of Animal miRNA Target Prediction Algorithms. In: Dalmay, T. (eds) MicroRNA Detection and Target Identification. Methods in Molecular Biology, vol 1580. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6866-4_13

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  • DOI: https://doi.org/10.1007/978-1-4939-6866-4_13

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6864-0

  • Online ISBN: 978-1-4939-6866-4

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