Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning ; volume:17 ; number:1 ; day:30 ; month:12 ; year:2024 ; pages:1-2 ; date:12.2024
BioData Mining ; 17, Heft 1 (30.12.2024), 1-2, 12.2024
- Classification
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Wirtschaft
- Creator
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Horvath, Jakub
Jedlicka, Pavel
Kratka, Marie
Kubat, Zdenek
Kejnovsky, Eduard
Lexa, Matej
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13040-024-00417-6
- URN
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urn:nbn:de:101:1-2503072136570.239315547455
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:33 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Horvath, Jakub
- Jedlicka, Pavel
- Kratka, Marie
- Kubat, Zdenek
- Kejnovsky, Eduard
- Lexa, Matej
- SpringerLink (Online service)
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Comparative analysis of miniature inverted–repeat transposable elements (MITEs) and long terminal repeat (LTR) retrotransposons in six Citrus species
Evolutionary history of Oryza sativa LTR retrotransposons: a preliminary survey of the rice genome sequences
Recognize Yourself—Innate Sensing of Non-LTR Retrotransposons
Long terminal repeat retrotransposons of Oryza sativa
Long terminal repeat retrotransposons of Mus musculus
Genome-wide analysis of LTR-retrotransposons in oil palm
De novo identification of LTR retrotransposons in eukaryotic genomes
Evolutionary history of LTR-retrotransposons among 20 Drosophila species
Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning
Reverse transcriptase sequences from mulberry LTR retrotransposons: characterization analysis
LTR_FINDER_parallel: parallelization of LTR_FINDER enabling rapid identification of long terminal repeat retrotransposons
LtrDetector: A tool-suite for detecting long terminal repeat retrotransposons de-novo
Comparative analysis of miniature inverted–repeat transposable elements (MITEs) and long terminal repeat (LTR) retrotransposons in six Citrus species
Evolutionary history of Oryza sativa LTR retrotransposons: a preliminary survey of the rice genome sequences
Recognize Yourself—Innate Sensing of Non-LTR Retrotransposons
Long terminal repeat retrotransposons of Oryza sativa
Long terminal repeat retrotransposons of Mus musculus
Genome-wide analysis of LTR-retrotransposons in oil palm
De novo identification of LTR retrotransposons in eukaryotic genomes
Evolutionary history of LTR-retrotransposons among 20 Drosophila species
Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning
Reverse transcriptase sequences from mulberry LTR retrotransposons: characterization analysis
LTR_FINDER_parallel: parallelization of LTR_FINDER enabling rapid identification of long terminal repeat retrotransposons
LtrDetector: A tool-suite for detecting long terminal repeat retrotransposons de-novo
Comparative analysis of miniature inverted–repeat transposable elements (MITEs) and long terminal repeat (LTR) retrotransposons in six Citrus species
Evolutionary history of Oryza sativa LTR retrotransposons: a preliminary survey of the rice genome sequences
Recognize Yourself—Innate Sensing of Non-LTR Retrotransposons
Long terminal repeat retrotransposons of Oryza sativa
Long terminal repeat retrotransposons of Mus musculus
Genome-wide analysis of LTR-retrotransposons in oil palm
De novo identification of LTR retrotransposons in eukaryotic genomes