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

Author:

Babaian Artem12,Thompson I Richard3,Lever Jake24,Gagnier Liane1,Karimi Mohammad M5,Mager Dixie L12ORCID

Affiliation:

1. Terry Fox Laboratory, BC Cancer, Vancouver, BC, Canada

2. University of British Columbia, Vancouver, BC, Canada

3. Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Doha, Qatar

4. Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada

5. MRC London Institute of Medical Sciences, Imperial College, London, UK

Abstract

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.

Funder

Natural Sciences and Engineering Council of Canada

Natural Sciences and Engineering Council of Canada Alexander Graham Bell Graduate Scholarship

Roman Babicki Fellowship in Medical Research

University of British Columbia

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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