聖塔非研究所

摘要 Simply by assuming that the (蛋白質) coding and non

2012 · 已發表論文 · 更新 2026/08/30 下午12:48

摘要 Simply by assuming that the (蛋白質) coding and non coding fractions of the 基因組 must have different dynamics and that the non coding fraction must be particularly versatile and therefore be …

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論文資訊

  • 類型:已發表論文
  • 日期:2012

摘要

Simply by assuming that the (蛋白質) coding and non-coding fractions of the 基因組 must have different dynamics and that the non-coding fraction must be particularly versatile and therefore be controlled by a variety of (unspecified) probability distribution functions (pdf's), we are able to predict that the number of ORFs for Eukaryotes follows a Benford distribution and must therefore have a specific logarithmic form. Using the data for the 1000+ 基因組s available to us in early 2010, we find that the Benford distribution provides excellent fits to the data over several orders of magnitude. Conclusions: In its linear regime the Benford distribution produces excellent fits to the Prokaryote data, while the full non-linear form of the distribution similarly provides an excellent fit to the Eukaryot

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