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.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 34
- FWCI
- 3.68
- Field percentile
- top 8%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- TE-Seq: A Transposable Element Annotation and RNA-Seq Pipeline
Maxfield M. G. Kelsey, Radha L. Kalekar, John M. Sedivy·Mobile DNAPeer-reviewed·Nov 27, 2025
- Comprehensive benchmarking with guidelines for analyzing transposable element-derived RNA expression
Jianqi She, Jiadong Wang, Ence Yang·Genomics Proteomics & BioinformaticsPeer-reviewed·Jun 17, 2026
- GeneTEFlow: A Nextflow-based pipeline for analysing gene and transposable elements expression from RNA-Seq data
Xiaochuan Liu, Jadwiga Renata Bienkowska, Wenyan Zhong·PLoS ONEPeer-reviewed·Aug 31, 2020
- Long-Read cDNA Sequencing Enables a 'Gene-Like' Transcript Annotation of Arabidopsis Transposable Elements
K. Panda, R. K. Slotkin·bioRxiv·Feb 20, 2020
- Integrating long-read RNA sequencing improves locus-specific quantification of transposable element expression
Sojung Lee, Jayne A. Barbour, … Jason W.H. Wong·bioRxiv·Mar 21, 2023
- Benchmarking Transposable Element Annotation Methods for Creation of a Streamlined, Comprehensive Pipeline
Shujun Ou, Weija Su, … Matthew B. Hufford·Genome biologyPeer-reviewed·Dec 16, 2019