Abstract
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.
Dokumententyp: | Zeitschriftenartikel |
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Publikationsform: | Publisher's Version |
Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-22800-2 |
ISSN: | 1465-6906 |
Ort: | 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND |
Sprache: | Englisch |
Dokumenten ID: | 22800 |
Datum der Veröffentlichung auf Open Access LMU: | 20. Feb. 2015, 08:08 |
Letzte Änderungen: | 04. Nov. 2020, 13:03 |