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

Thomas Bradley, Simon Moxon

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationMicroRNA Detection and Target Identification
EditorsTamas Dalmay
PublisherSpringer
Pages175-191
ISBN (Print)978-1-4939-6864-0
DOIs
Publication statusPublished - 25 Apr 2017

Publication series

NameMethods in Molecular Biology
PublisherSpringer
Volume1580
ISSN (Print)1064-3745

Keywords

  • mirna
  • mirna target prediction

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