ArticleBMC genomics2019
LtrDetector: A tool-suite for detecting long terminal repeat retrotransposons de-novo.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
22 citing papers in PubMed.
- Hide and seek: de novo identification in sugar beet reveals impact of non-autonomous LTR retrotransposons.Mobile DNA · 2026Article
- Article
- panHiTE: A comprehensive and accurate pipeline for TE detection in large-scale population genomes.Plant communications · 2026Article
- Integrating pan-genome analysis, GWAS, and interpretable machine learning to prioritize trait-associated structural variations in Setaria italica.Plant communications · 2026Article
- Giant genome of the vampire squid reveals the derived state of modern octopod karyotypes.iScience · 2025Article
- Volcano: a pipeline to characterize long terminal repeat-retrotransposons families in plants.Bioinformatics advances · 2025Article
- DANTE and DANTE_LTR: lineage-centric annotation pipelines for long terminal repeat retrotransposons in plant genomes.NAR genomics and bioinformatics · 2024Article
- Genome Assembly of the Dyeing Poison Frog Provides Insights into the Dynamics of Transposable Element and Genome-Size Evolution.Genome biology and evolution · 2024Article
- Look4LTRs: a Long terminal repeat retrotransposon detection tool capable of cross species studies and discovering recently nested repeats.Mobile DNA · 2024Article
- Article
- The genome of the glasshouse plant noble rhubarb (Rheum nobile) provides a window into alpine adaptation.Communications biology · 2023Article
- An Overview of Best Practices for Transposable Element Identification, Classification, and Annotation in Eukaryotic Genomes.Methods in molecular biology (Clifton, N.J.) · 2023Article
- MegaLTR: a web server and standalone pipeline for detecting and annotating LTR-retrotransposons in plant genomes.Frontiers in plant science · 2023Article
- Origination of LTR Retroelement-Derived NYNRIN Coincides with Therian Placental Emergence.Molecular biology and evolution · 2022Article
- TransposonUltimate: software for transposon classification, annotation and detection.Nucleic acids research · 2022Article
- MeShClust v3.0: high-quality clustering of DNA sequences using the mean shift algorithm and alignment-free identity scores.BMC genomics · 2022Article
- Methodologies for theGenes · 2022Review
- Article
- Genome-Wide Comparative Analysis of Flowering-Time Genes; Insights on the Gene Family Expansion and Evolutionary Perspective.Frontiers in plant science · 2021Article
- TE-greedy-nester: structure-based detection of LTR retrotransposons and their nesting.Bioinformatics (Oxford, England) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundLong terminal repeat retrotransposons are the most abundant transposons in plants. They play important roles in alternative splicing, recombination, gene regulation, and defense mechanisms. Large-scale sequencing projects for plant genomes are currently underway. Software tools are important for annotating long terminal repeat retrotransposons in these newly available genomes. However, the available tools are not very sensitive to known elements and perform inconsistently on different genomes. Some are hard to install or obsolete. They may struggle to process large plant genomes. None can be executed in parallel out of the box and very few have features to support visual review of new elements. To overcome these limitations, we developed LtrDetector, which uses techniques inspired by signal-processing.
resultsWe compared LtrDetector to LTR_Finder and LTRharvest, the two most successful predecessor tools, on six plant genomes. For each organism, we constructed a ground truth data set based on queries from a consensus sequence database. According to this evaluation, LtrDetector was the most sensitive tool, achieving 16-23% improvement in sensitivity over LTRharvest and 21% improvement over LTR_Finder. All three tools had low false positive rates, with LtrDetector achieving 98.2% precision, in between its two competitors. Overall, LtrDetector provides the best compromise between high sensitivity and low false positive rate while requiring moderate time and utilizing memory available on personal computers.
conclusionsLtrDetector uses a novel methodology revolving around k-mer distributions, which allows it to produce high-quality results using relatively lightweight procedures. It is easy to install and use. It is not species specific, performing well using its default parameters on genomes of varying size and repeat content. It is automatically configured for parallel execution and runs efficiently on an ordinary personal computer. It includes a k-mer scores visualization tool to facilitate manual review of the identified elements. These features make LtrDetector an attractive tool for future annotation projects involving long terminal repeat retrotransposons.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.