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It is difficult for existing methods to quantify, and track the constant evolution of cancers due to high heterogeneity of mutations. However, structural variations associated with nucleotide number changes show

It is difficult for existing methods to quantify, and track the constant evolution of cancers due to high heterogeneity of mutations. However, structural variations associated with nucleotide number changes show repeatable patterns in localized regions of the genome. Here we introduce SPKMG, which generalizes nucleotide number based properties of genes, in statistical terms, at the genome-wide scale. It is measured from the normalized amount of aligned NGS reads in exonic regions of a gene. SPKMG values are calculated within OncoTrack.

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    Date Created
    • 2016-07-14
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    Identifier
    • Digital object identifier: 10.1038/srep29647
    • Identifier Type
      International standard serial number
      Identifier Value
      2045-2322
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    Talukder, A. K., Agarwal, M., Buetow, K. H., & Denèfle, P. P. (2016). Tracking Cancer Genetic Evolution using OncoTrack. Scientific Reports, 6(1). doi:10.1038/srep29647

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