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

doi:10.1093/bioinformatics/btz130

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

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

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.

Original language	English
Pages (from-to)	3839-3841
Number of pages	3
Journal	Bioinformatics
Volume	35
Issue number	19
DOIs	https://doi.org/10.1093/bioinformatics/btz130
Publication status	Published - 1 Oct 2019

Keywords

Genes

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10.1093/bioinformatics/btz130

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title = "Lions: analysis suite for detecting and quantifying transposable element initiated transcription from RNA-seq",

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.",

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AU - Karimi, Mohammad M.

AU - Mager, Dixie L.

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KW - Genes

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

Abstract

Keywords

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