Detecting circular RNAs: bioinformatic and experimental challenges View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-11

AUTHORS

Linda Szabo, Julia Salzman

ABSTRACT

The pervasive expression of circular RNAs (circRNAs) is a recently discovered feature of gene expression in highly diverged eukaryotes. Numerous algorithms that are used to detect genome-wide circRNA expression from RNA sequencing (RNA-seq) data have been developed in the past few years, but there is little overlap in their predictions and no clear gold-standard method to assess the accuracy of these algorithms. We review sources of experimental and bioinformatic biases that complicate the accurate discovery of circRNAs and discuss statistical approaches to address these biases. We conclude with a discussion of the current experimental progress on the topic. More... »

PAGES

679-692

References to SciGraph publications

  • 2015-12. Comparing the normalization methods for the differential analysis of Illumina high-throughput RNA-Seq data in BMC BIOINFORMATICS
  • 2014-12. Comparisons of computational methods for differential alternative splicing detection using RNA-seq in plant systems in BMC BIOINFORMATICS
  • 2014-02. A multi-split mapping algorithm for circular RNA, splicing, trans-splicing and fusion detection in GENOME BIOLOGY
  • 2015-12. CIRI: an efficient and unbiased algorithm for de novo circular RNA identification in GENOME BIOLOGY
  • 2014-07. Expanded identification and characterization of mammalian circular RNAs in GENOME BIOLOGY
  • 2013-12. Systematic evaluation of spliced alignment programs for RNA-seq data in NATURE METHODS
  • 2014-05. Detecting and characterizing circular RNAs in NATURE BIOTECHNOLOGY
  • 2015-12. Alternative splicing detection workflow needs a careful combination of sample prep and bioinformatics analysis in BMC BIOINFORMATICS
  • 2013-03. Natural RNA circles function as efficient microRNA sponges in NATURE
  • 2008-12. A large genome center's improvements to the Illumina sequencing system in NATURE METHODS
  • 2013-12. Benchmarking short sequence mapping tools in BMC BIOINFORMATICS
  • 2013-03. Circular RNAs are a large class of animal RNAs with regulatory potency in NATURE
  • 2012-03. A rapid, directional RNA-seq library preparation workflow for Illumina<sup>®</sup> sequencing in NATURE METHODS
  • 2015-12. Problems with the nested granularity of feature domains in bioinformatics: the eXtasy case in BMC BIOINFORMATICS
  • 2015-12. Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development in GENOME BIOLOGY
  • 2014-06. IVT-seq reveals extreme bias in RNA sequencing in GENOME BIOLOGY
  • 2015-12. Spatio-temporal regulation of circular RNA expression during porcine embryonic brain development in GENOME BIOLOGY
  • 2012-03-01. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks in NATURE PROTOCOLS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrg.2016.114

    DOI

    http://dx.doi.org/10.1038/nrg.2016.114

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1018741891

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27739534


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