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    msRepDB: a comprehensive repetitive sequence database of over 80 000 species.

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    Type
    Article
    Authors
    Liao, Xingyu cc
    Hu, Kang
    Salhi, Adil
    Zou, You
    Wang, Jianxin cc
    Gao, Xin cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer Science Program
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Structural and Functional Bioinformatics Group
    KAUST Grant Number
    FCC/1/1976-18-01
    FCC/1/1976-23-01
    FCC/1/1976-25-01
    FCC/1/1976-26-01
    OSR
    REI/1/0018-01-01
    REI/1/4216-01-01
    REI/1/4437-01-01
    REI/1/4473-01-01
    REI/1/4742-01
    URF/1/4098-01-01
    URF/1/4352-01-01
    URF/1/4379-01-0
    Date
    2021-12-01
    Online Publication Date
    2021-12-01
    Print Publication Date
    2022-01-07
    Permanent link to this record
    http://hdl.handle.net/10754/673931
    
    Metadata
    Show full item record
    Abstract
    Repeats are prevalent in the genomes of all bacteria, plants and animals, and they cover nearly half of the Human genome, which play indispensable roles in the evolution, inheritance, variation and genomic instability, and serve as substrates for chromosomal rearrangements that include disease-causing deletions, inversions, and translocations. Comprehensive identification, classification and annotation of repeats in genomes can provide accurate and targeted solutions towards understanding and diagnosis of complex diseases, optimization of plant properties and development of new drugs. RepBase and Dfam are two most frequently used repeat databases, but they are not sufficiently complete. Due to the lack of a comprehensive repeat database of multiple species, the current research in this field is far from being satisfactory. LongRepMarker is a new framework developed recently by our group for comprehensive identification of genomic repeats. We here propose msRepDB based on LongRepMarker, which is currently the most comprehensive multi-species repeat database, covering >80 000 species. Comprehensive evaluations show that msRepDB contains more species, and more complete repeats and families than RepBase and Dfam databases. (https://msrepdb.cbrc.kaust.edu.sa/pages/msRepDB/index.html).
    Citation
    Liao, X., Hu, K., Salhi, A., Zou, Y., Wang, J., & Gao, X. (2021). msRepDB: a comprehensive repetitive sequence database of over 80 000 species. Nucleic Acids Research. doi:10.1093/nar/gkab1089
    Sponsors
    This work was supported by the National Natural Science Foundation of China [62002388,61732009, 61772557, U1909208], King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) [FCC/1/1976-18-01,FCC/1/1976-23-01, FCC/1/1976-25-01, FCC/1/1976-26-01, REI/1/0018-01-01, REI/1/4216-01-01, REI/1/4437-01-01, REI/1/4473-01-01, URF/1/4352-01-01,URF/1/4379-01-01, REI/1/4742-01-01, URF/1/4098-01-01], Hunan Provincial Natural Science Foundation of China [2021JJ40787], Hunan Provincial Science and Technology Program [2018wk4001] and 111 Project [B18059]. This work was carried out in part using computing resources at the High Performance Computing Center of Central South University
    Publisher
    Oxford University Press (OUP)
    Journal
    Nucleic acids research
    DOI
    10.1093/nar/gkab1089
    PubMed ID
    34850956
    Additional Links
    https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkab1089/6447247
    ae974a485f413a2113503eed53cd6c53
    10.1093/nar/gkab1089
    Scopus Count
    Collections
    Articles; Structural and Functional Bioinformatics Group; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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