What question did this study set out to answer?

To establish curated databases of repetitive DNA sequences across multiple plant genera and families to improve plant genome annotation and comparative analysis.

December 18, 2003Nucleic Acids ResearchOpen Access

The TIGR Plant Repeat Databases: a collective resource for the identification of repetitive sequences in plants

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Authors

SOShuai OuyangCentral South University of Forestry and Technology

Discussion

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Implication

Computational resource development reveals curated repetitive sequence databases across 12 plant genera, facilitating comparative genomics and genome annotation.

Key Points

To establish curated databases of repetitive DNA sequences across multiple plant genera and families to improve plant genome annotation and comparative analysis.
Constructed repetitive sequence databases for 12 plant genera: Arabidopsis, Brassica, Glycine, Hordeum, Lotus, Lycopersicon, Medicago, Oryza, Solanum, Sorghum, Triticum, and Zea.
Classified repetitive elements hierarchically into super-classes, classes, and sub-classes based on sequence and structural similarities.
Combined sequences across related genera to form four family-level databases representing Brassicaceae, Fabaceae, Gramineae, and Solanaceae.
Generated searchable and downloadable repetitive sequence databases for 12 key plant genera and four major plant families.
Established a hierarchical classification framework for indexing plant repeat elements to facilitate both sequence similarity searches and comparative genomic studies.

Cite This Study

Shuai Ouyang (2003) studied this question.

synapsesocial.com/papers/69decbbf499d77a496b0cdc4 https://doi.org/10.1093/nar/gkh099

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December 18, 2003Nucleic Acids ResearchOpen Access

The TIGR Plant Repeat Databases: a collective resource for the identification of repetitive sequences in plants

View Full Paper

Ask AI

Bookmark

Authors

SOShuai OuyangCentral South University of Forestry and Technology

Discussion

Member takes

Implication

Computational resource development reveals curated repetitive sequence databases across 12 plant genera, facilitating comparative genomics and genome annotation.

Key Points

To establish curated databases of repetitive DNA sequences across multiple plant genera and families to improve plant genome annotation and comparative analysis.
Constructed repetitive sequence databases for 12 plant genera: Arabidopsis, Brassica, Glycine, Hordeum, Lotus, Lycopersicon, Medicago, Oryza, Solanum, Sorghum, Triticum, and Zea.
Classified repetitive elements hierarchically into super-classes, classes, and sub-classes based on sequence and structural similarities.
Combined sequences across related genera to form four family-level databases representing Brassicaceae, Fabaceae, Gramineae, and Solanaceae.
Generated searchable and downloadable repetitive sequence databases for 12 key plant genera and four major plant families.
Established a hierarchical classification framework for indexing plant repeat elements to facilitate both sequence similarity searches and comparative genomic studies.

Cite This Study

Shuai Ouyang (2003) studied this question.

synapsesocial.com/papers/69decbbf499d77a496b0cdc4 https://doi.org/10.1093/nar/gkh099

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