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BioinformaticsBioinformatics
Peer-reviewed journal article

LIONS: Analysis Suite for Detecting and Quantifying Transposable Element Initiated Transcription from RNA-seq

Artem BabaianiD, Ian Richard ThompsoniD, Jake LeveriD, Liane Gagnier, Mohammad Mahdi KarimiiD, Dixie L. MageriD

Abstract

SummaryTransposable Elements (TEs) influence the evolution of novel transcriptional networks yet the specific and meaningful interpretation of how TE-initiation events contribute to the transcriptome has been marred by computational and methodological deficiencies. We developed LIONS for the analysis of paired-end RNA-seq data to specifically detect and quantify TE-initiated transcripts.\n\nAvailabilitySource code, container, test data and instruction manual are freely available at www.github.com/ababaian/LIONS.\n\nContactababaian@bccrc.ca or mahdi.karimi@lms.mrc.ac.uk or dmager@bccrc.ca.\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

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