T-lex3
T-lex3 genotypes transposable element (TE) insertions and estimates their population frequencies from short-read whole-genome sequencing data.
Key Features:
- Algorithmic enhancement: Incorporates the BWA-MEM aligner for short-read mapping, enabling support for longer reads (>150 bp) and processing of high-throughput sequencing data.
- Improved genotyping accuracy: Implements new filtering steps and customizable parameters, including thresholds for minimum and maximum read counts and minimum number of strains required per TE genotype.
- Broad applicability: Validated across diverse organisms, including Drosophila melanogaster, humans, and rice, supporting genomes with varying sizes and TE contents.
- Accurate TE calls in plant genomes: Provides accurate TE calls within a plant genome in this version, extending applicability to botanical and agricultural genomes.
Scientific Applications:
- Population Genetics: Estimating TE frequencies within populations to study genetic variation.
- Evolutionary Biology: Investigating the impact of TEs on genome evolution and adaptation.
- Comparative Genomics: Comparing TE insertions among species or strains to identify evolutionary patterns.
Methodology:
Maps short-read sequences using the BWA-MEM aligner and applies enhanced filtering mechanisms with customizable read-count and strain-count thresholds to produce TE genotype calls.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- Perl
- Added:
- 1/9/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Bogaerts-Márquez M, Barrón MG, Fiston-Lavier A, Vendrell-Mir P, Castanera R, Casacuberta JM, González J. <i>T-lex3</i>: an accurate tool to genotype and estimate population frequencies of transposable elements using the latest short-read whole genome sequencing data. Bioinformatics. 2019;36(4):1191-1197. doi:10.1093/bioinformatics/btz727. PMID:31580402. PMCID:PMC7703783.
PMID: 31580402
PMCID: PMC7703783
Funding: - European Commission: H2020-ERC-2014-CoG-647900
- Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat de Catalunya: GRC 2017 SGR 880
- Ministerio de Economia y Competitividad: AGL2016-78992-R