摘要翻译：
这项工作提出了一个数学模型，它在人类单链DNA的核苷酸频率和著名的斐波那契数之间建立了有趣的联系。该模型依赖于两个假设。首先，Chargaff的第二奇偶性规则应该是有效的，其次，当碱基数目足够大时，核苷酸频率应该接近极限值。在这两个假设下，有可能准确地预测人类核苷酸频率。值得注意的是，预测值是一个优化问题的解，这在许多自然现象中是常见的。
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英文标题：
《Nucleotide Frequencies in Human Genome and Fibonacci Numbers》
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作者：
Michel E. Beleza Yamagishi and Alex Itiro Shimabukuro
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最新提交年份：
2006
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  This work presents a mathematical model that establishes an interesting connection between nucleotide frequencies in human single-stranded DNA and the famous Fibonacci's numbers. The model relies on two assumptions. First, Chargaff's second parity rule should be valid, and, second, the nucleotide frequencies should approach limit values when the number of bases is sufficiently large. Under these two hypotheses, it is possible to predict the human nucleotide frequencies with accuracy. It is noteworthy, that the predicted values are solutions of an optimization problem, which is commonplace in many nature's phenomena.
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PDF链接：
https://arxiv.org/pdf/q-bio/0611041