Authors
Steve Hoffmann, Christian Otto, Gero Doose, Andrea Tanzer, David Langenberger, Sabina Christ, Manfred Kunz, Lesca M Holdt, Daniel Teupser, Jörg Hackermüller, Peter F Stadler
Publication date
2014/2
Journal
Genome biology
Volume
15
Pages
1-11
Publisher
BioMed Central
Description
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/ ).
Total citations
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