LIONS: analysis suite for detecting and quantifying transposable element initiated transcription from RNA-seq

Artem Babaian, I. Richard Thompson, Jake Lever, Liane Gagnier, Mohammad M. Karimi, Dixie L. Mager

Bioinformatics · 2019 · 33 citations · 12 references

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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.

References

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