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Dichotomy in the definition of prescriptive information suggests both prescribed data and prescribed algorithms: biosemiotics applications in genomic systems

机译:说明性信息定义中的二分法同时表明了规定的数据和规定的算法:生物符号学在基因组系统中的应用

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The fields of molecular biology and computer science have cooperated over recent years to create a synergy between the cybernetic and biosemiotic relationship found in cellular genomics to that of information and language found in computational systems. Biological information frequently manifests its "meaning" through instruction or actual production of formal bio-function. Such information is called Prescriptive Information (PI). PI programs organize and execute a prescribed set of choices. Closer examination of this term in cellular systems has led to a dichotomy in its definition suggesting both prescribed data and prescribed algorithms are constituents of PI. This paper looks at this dichotomy as expressed in both the genetic code and in the central dogma of protein synthesis. An example of a genetic algorithm is modeled after the ribosome, and an examination of the protein synthesis process is used to differentiate PI data from PI algorithms.
机译:近年来,分子生物学和计算机科学领域进行了合作,以在细胞基因组学中发现的控制论和生物符号学关系与在计算系统中发现的信息和语言之间产生协同作用。生物信息通常通过形式生物功能的指示或实际生产来体现其“含义”。此类信息称为规范性信息(PI)。 PI程序组织并执行规定的选择集。在蜂窝系统中对该术语的仔细检查已导致其定义出现二分法,表明规定的数据和规定的算法都是PI的组成部分。本文着眼于在遗传密码和蛋白质合成的核心教义中表达的这种二分法。遗传算法的一个例子是在核糖体之后建模的,蛋白质合成过程的检查用于区分PI数据和PI算法。

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