Specific identification and quantification of circular RNAs from sequencing data

Bioinformatics

Volumn 32, Issue 7, 2016, Pages 1094-1096

  Cheng, Jun ^a   Metge, Franziska ^a   Dieterich, Christoph ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGY OF AGEING   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; COMPUTER LANGUAGE; HIGH THROUGHPUT SEQUENCING; SEQUENCE ANALYSIS; SOFTWARE;

ANIMALS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; PROGRAMMING LANGUAGES; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 84964434843     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv656     Document Type: Article

References (8)

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2. Gao,Y. et al. (2015) CIRI: an efficient and unbiased algorithm for de novo circular RNA identification. Genome Biol., 16, 4.
3. Jeck,W. R. and Sharpless,N. E. (2014) Detecting and characterizing circular RNAs. Nat. Biotechnol., 32, 453-461.
4. Lasda,E. and Parker,R. (2014) Circular RNAs: diversity of form and function. RNA, 20, 1829-1842.
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8. Westholm,J. O. et al. (2014) Genome-wide analysis of Drosophila circular RNAs reveals their structural and sequence properties and age-dependent neural accumulation. Cell Rep., 9, 1966-1980.