摘要翻译：
如何表示遗传密码？尽管这一事实广为人知，但DNA映射到蛋白质仍然是遗传学的相关发现之一。然而，现代基因组信号处理通常需要将符号DNA串转换成复值信号，以充分利用各种数字处理技术。本文对遗传密码进行了重新讨论，提出了可供选择的遗传密码表示方法，这些方法可用于基因组信号处理。讨论了三种原始表征。从内到外的图谱建立在“密码子”核苷酸的不平衡作用上，它似乎适合处理基于信息理论的物质。二维灰度图表示是一种数学结构图，可以帮助解释谱图或标度图。最后，研究了遗传密码的世界地图表示方法，这不仅为基于距离的算法的应用提供了广阔的空间，而且对教育有特别的价值。
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英文标题：
《The Genetic Code revisited: Inner-to-outer map, 2D-Gray map, and
  World-map Genetic Representations》
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作者：
H.M. de Oliveira and N.S. Santos-Magalhaes
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最新提交年份：
2015
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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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一级分类：Computer Science        计算机科学
二级分类：Computational Engineering, Finance, and Science        计算工程、金融和科学
分类描述：Covers applications of computer science to the mathematical modeling of complex systems in the fields of science, engineering, and finance. Papers here are interdisciplinary and applications-oriented, focusing on techniques and tools that enable challenging computational simulations to be performed, for which the use of supercomputers or distributed computing platforms is often required. Includes material in ACM Subject Classes J.2, J.3, and J.4 (economics).
涵盖了计算机科学在科学、工程和金融领域复杂系统的数学建模中的应用。这里的论文是跨学科和面向应用的，集中在技术和工具，使挑战性的计算模拟能够执行，其中往往需要使用超级计算机或分布式计算平台。包括ACM学科课程J.2、J.3和J.4（经济学）中的材料。
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英文摘要：
  How to represent the genetic code? Despite the fact that it is extensively known, the DNA mapping into proteins remains as one of the relevant discoveries of genetics. However, modern genomic signal processing usually requires converting symbolic-DNA strings into complex-valued signals in order to take full advantage of a broad variety of digital processing techniques. The genetic code is revisited in this paper, addressing alternative representations for it, which can be worthy for genomic signal processing. Three original representations are discussed. The inner-to-outer map builds on the unbalanced role of nucleotides of a 'codon' and it seems to be suitable for handling information-theory-based matter. The two-dimensional-Gray map representation is offered as a mathematically structured map that can help interpreting spectrograms or scalograms. Finally, the world-map representation for the genetic code is investigated, which can particularly be valuable for educational purposes -besides furnishing plenty of room for application of distance-based algorithms.
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PDF链接：
https://arxiv.org/pdf/1503.02570