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

Barbaian, A., Thompson, I. R., Lever, J. , Gagnier, L., Karimi, M. M. and Mager, D. L. (2019) LIONS: analysis suite for detecting and quantifying transposable element initiated transcription from RNA-seq. Bioinformatics, 35(19), pp. 3839-3841. (doi: 10.1093/bioinformatics/btz130) (PMID:30793157)

Full text not currently available from Enlighten.

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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Lever, Dr Jake
Authors: Barbaian, A., Thompson, I. R., Lever, J., Gagnier, L., Karimi, M. M., and Mager, D. L.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Bioinformatics
Publisher:Oxford University Press
ISSN:1367-4803
ISSN (Online):1460-2059
Published Online:21 February 2019

University Staff: Request a correction | Enlighten Editors: Update this record