multi-split mapping algorithm for circular RNA, splicing, trans-splicing and fusion detection

Numerous high-throughput sequencing studies have focused on detecting conventionally spliced mRNAs in RNA-seq data. However, non-standard RNAs arising through gene fusion, circularization or trans-splicing are often neglected. We introduce a novel, unbiased algorithm to detect splice junctions from...

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Bibliographic Details
Published in:Genome biology Vol. 15; no. 2; p. R34
Main Authors: Hoffmann, Steve, Otto, Christian, Doose, Gero, Tanzer, Andrea, Langenberger, David, Christ, Sabina, Kunz, Manfred, Holdt, Lesca M, Teupser, Daniel, Hackermüller, Jörg, Stadler, Peter F
Format: Journal Article
Language:English
Published: England Springer-Verlag 10-02-2014
BioMed Central
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Summary:Numerous high-throughput sequencing studies have focused on detecting conventionally spliced mRNAs in RNA-seq data. However, non-standard RNAs arising through gene fusion, circularization or trans-splicing are often neglected. We introduce a novel, unbiased algorithm to detect splice junctions from single-end cDNA sequences. In contrast to other methods, our approach accommodates multi-junction structures. Our method compares favorably with competing tools for conventionally spliced mRNAs and, with a gain of up to 40% of recall, systematically outperforms them on reads with multiple splits, trans-splicing and circular products. The algorithm is integrated into our mapping tool segemehl ( http://www.bioinf.uni-leipzig.de/Software/segemehl/ ).
Bibliography:http://dx.doi.org/10.1186/gb-2014-15-2-r34
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ISSN:1465-6906
1474-760X
1465-6914
1474-760X
DOI:10.1186/gb-2014-15-2-r34