SLIDR and SLOPPR : flexible identification of spliced leader trans-splicing and prediction of eukaryotic operons from RNA-Seq data

Wenzel, MariusMuller, BerndtPettitt, Jonathan2021-03-232021-03-232021-03-22Wenzel, M, Muller, B & Pettitt, J 2021, 'SLIDR and SLOPPR : flexible identification of spliced leader trans-splicing and prediction of eukaryotic operons from RNA-Seq data', BMC Bioinformatics, vol. 22, 140. https://doi.org/10.1186/s12859-021-04009-71471-2105ORCID: 0000-0003-0093-368XORCID: 0000-0003-1279-5421ORCID: 0000-0001-7988-6833ORCID: /0000-0003-1279-5421/work/91892299ORCID: /0000-0003-0093-368X/work/113225395ORCID: /0000-0001-7988-6833/work/160389551https://hdl.handle.net/2164/16101Acknowledgements The authors thank Bernadette Connolly for helpful discussions and Andreea Marin, David MacLeod and Lucrezia Piccicacchi for testing the pipelines. The authors acknowledge the support of the Maxwell and MacLeod computer clusters funded by the University of Aberdeen. Funding This work was supported by the Biotechnology and Biological Sciences Research Council [BB/J007137/1 to JP and BM, and BB/T002859/1 to BM and JP]. The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.301933767engSpliced-leader trans-splicingEukaryotic operonsPolycistronic RNA processingRNA-seqGenome annotationChimeric reads5′ UTRQH301 BiologyBiotechnology and Biological Sciences Research Council (BBSRC)BB/J007137/1BB/T002859/1Supplementary DataQH301SLIDR and SLOPPR : flexible identification of spliced leader trans-splicing and prediction of eukaryotic operons from RNA-Seq dataJournal article10.1186/s12859-021-04009-722