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Whole genome sequencing (WGS) is a promising strategy to unravel variants or genes responsible for human diseases and traits. However, there is a lack of robust platforms for a comprehensive

Whole genome sequencing (WGS) is a promising strategy to unravel variants or genes responsible for human diseases and traits. However, there is a lack of robust platforms for a comprehensive downstream analysis. In the present study, we first proposed three novel algorithms, sequence gap-filled gene feature annotation, bit-block encoded genotypes and sectional fast access to text lines to address three fundamental problems.

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    Date Created
    • 2017-01-23
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  • Text
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    Identifier
    • Digital object identifier: 10.1093/nar/gkx019
    • Identifier Type
      International standard serial number
      Identifier Value
      1362-4962
    • Identifier Type
      International standard serial number
      Identifier Value
      0305-1048
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    Li, M., Li, J., Li, M. J., Pan, Z., Hsu, J. S., Liu, D. J., . . . Sham, P. C. (2017). Robust and rapid algorithms facilitate large-scale whole genome sequencing downstream analysis in an integrative framework. Nucleic Acids Research. doi:10.1093/nar/gkx019

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