ArticlePlant physiology2018
LTR_retriever: A Highly Accurate and Sensitive Program for Identification of Long Terminal Repeat Retrotransposons.
Article in Plant physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,025 papers.
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1,025 citing papers in PubMed.
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- Long Terminal Repeat Retrotransposons in Chenopodium quinoa Provide Insights Into Subgenome Differentiation and Altitudinal Adaptation.Plant, cell & environment · 2026Article
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- Systematic prioritization of candidate genes in camptothecin biosynthesis using multi-omics and deep learning.The plant genome · 2026Article
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- Chromosome-level Streptochaeta genome elucidates the ancestral karyotype and allopolyploid origin of grasses.Nature communications · 2026Article
965 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
Long terminal repeat retrotransposons (LTR-RTs) are prevalent in plant genomes. The identification of LTR-RTs is critical for achieving high-quality gene annotation. Based on the well-conserved structure, multiple programs were developed for the de novo identification of LTR-RTs; however, these programs are associated with low specificity and high false discovery rates. Here, we report LTR_retriever, a multithreading-empowered Perl program that identifies LTR-RTs and generates high-quality LTR libraries from genomic sequences. LTR_retriever demonstrated significant improvements by achieving high levels of sensitivity (91%), specificity (97%), accuracy (96%), and precision (90%) in rice (
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