Deep computational circular RNA analytics from RNA-seq data

Tobias Jakobi, Christoph Dieterich

Research output: Chapter in Book/Report/Conference proceedingChapter

13 Scopus citations

Abstract

Circular RNAs (circRNAs) have been first described as “scrambled exons” in the 1990s. CircRNAs originate from back splicing or exon skipping of linear RNA templates and have continuously gained attention in recent years due to the availability of high-throughput whole-transcriptome sequencing methods. Numerous manuscripts describe thousands of circRNAs throughout uni- and multicellular eukaryote species and demonstrated that they are conserved, stable, and abundant in specific tissues or conditions. This manuscript provides a walk-through of our bioinformatics toolbox, which covers all aspects of in silico circRNA analysis, starting from raw sequencing data and back-splicing junction discovery to circRNA quantitation and reconstruction of internal the circRNA structure.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages9-25
Number of pages17
DOIs
StatePublished - 2018
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume1724
ISSN (Print)1064-3745

Keywords

  • Bioinformatics
  • Circular
  • Circular RNA detection
  • RNA analysis
  • Whole-transcriptome sequencing

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Fingerprint

Dive into the research topics of 'Deep computational circular RNA analytics from RNA-seq data'. Together they form a unique fingerprint.

Cite this