TEfinder

TEfinder identifies novel transposable element (TE) insertions from paired-end next-generation sequencing data to characterize genome dynamics and TE-mediated genetic variation.


Key Features:

  • Discordant read analysis: Leverages discordant reads from paired-end sequencing to detect new TE insertion events.
  • Minimal software dependencies: Requires BEDTools, SAMtools, and Picard.
  • Input requirements: Operates from four inputs: a list of TEs present in the reference genome, binary paired-end alignment files, a reference genome index, and TE names.
  • Broad applicability: Designed to function without species-specific input formats or extensive prior knowledge of target organisms.
  • Validation: Demonstrated accurate detection in studies of evolving populations of Fusarium oxysporum, including short-term adaptation experiments.

Scientific Applications:

  • Genome dynamics and evolution: Detection of novel TE insertions to study TE-driven genome rearrangements and evolutionary processes.
  • Genomic instability and gene regulation: Identification of insertion events that may contribute to genomic instability or alter gene expression.
  • Experimental evolution and population genomics: Tracking TE insertion polymorphisms in evolving populations and adaptation studies (e.g., Fusarium oxysporum).

Methodology:

Identifies insertions by analyzing discordant paired-end reads from next-generation sequencing alignments using SAMtools, BEDTools, and Picard with inputs: reference TE list, binary paired-end alignment files, reference genome index, and TE names.

Topics

Details

Programming Languages:
Shell
Added:
1/18/2021
Last Updated:
2/26/2021

Operations

Publications

Sohrab V, López-Díaz C, Di Pietro A, Ma L, Ayhan DH. TEfinder: A Bioinformatics Pipeline for Detecting New Transposable Element Insertion Events in Next-Generation Sequencing Data. Unknown Journal. 2020. doi:10.20944/preprints202012.0473.v1.