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

Babaian, Artem; Thompson, I Richard; Lever, Jake; Gagnier, Liane; Karimi, Mohammad M; Mager, Dixie L · Bioinformatics · 2019

basic_science · Level V

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Abstract

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. Source code, container, test data and instruction manual are freely available at www.github.com/ababaian/LIONS. Supplementary data are available at Bioinformatics online.

Medical subject headings