2015 | Weidong Bao, Kenji K. Kojima, Oleksiy Kohany
Repbase Update (RU) is a comprehensive database of repetitive elements in eukaryotic genomes, initially developed in 1992 by Dr. Jerzy Jurka. RU serves as a fundamental reference for eukaryotic genome sequence analyses and studies on the evolution and impact of transposable elements (TEs). The database contains over 38,000 sequences, with a majority being complete consensus sequences. RU is regularly updated, incorporating new sequences and refining existing ones. The submission process involves using the RepbaseSubmitter tool, which allows users to submit sequences for inclusion in the database. RU is widely used for TE identification, annotation, and classification, and its data is available in various formats for different applications, including genome browsers and TE annotation tools. The authors encourage broader submission of repeat sequences to expand the repository and benefit the research community. Future plans include enhancing the database with a "Reference" protein library for each TE superfamily and improving the user interface for easier data extraction.Repbase Update (RU) is a comprehensive database of repetitive elements in eukaryotic genomes, initially developed in 1992 by Dr. Jerzy Jurka. RU serves as a fundamental reference for eukaryotic genome sequence analyses and studies on the evolution and impact of transposable elements (TEs). The database contains over 38,000 sequences, with a majority being complete consensus sequences. RU is regularly updated, incorporating new sequences and refining existing ones. The submission process involves using the RepbaseSubmitter tool, which allows users to submit sequences for inclusion in the database. RU is widely used for TE identification, annotation, and classification, and its data is available in various formats for different applications, including genome browsers and TE annotation tools. The authors encourage broader submission of repeat sequences to expand the repository and benefit the research community. Future plans include enhancing the database with a "Reference" protein library for each TE superfamily and improving the user interface for easier data extraction.