Abstract
Summary: Transposable elements (TEs) influence the evolution of novel transcriptional networks yet the specific and meaningful interpretation of how TE-derived transcriptional initiation contributes to the transcriptome has been marred by computational and methodological deficiencies. We developed LIONS for the analysis of RNA-seq data to specifically detect and quantify TE-initiated transcripts. Availability and implementation: Source code, container, test data and instruction manual are freely available at www.github.com/ababaian/LIONS. Supplementary information: Supplementary data are available at Bioinformatics online.
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CITATION STYLE
Babaian, A., Thompson, I. R., Lever, J., Gagnier, L., Karimi, M. M., & Mager, D. L. (2019). LIONS: Analysis suite for detecting and quantifying transposable element initiated transcription from RNA-seq. Bioinformatics, 35(19), 3839–3841. https://doi.org/10.1093/bioinformatics/btz130
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