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)
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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.
Item Type: | Articles |
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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 |
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