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Investigating Evolutionary Relationships between Species through the Light of Graph Theory Based on the Multiplet Structure of the Genetic Code

机译:基于遗传密码多重结构的图论研究物种之间的进化关系

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Investigating evolutionary relationship between various species through similarity/dissimilarity analysis is a fundamental method. In this present work firstly 20 canonical amino acids and 3 stop codons (terminations) are classified into five different classes depending upon their frequency mapping with 64 codons of genetic table. Secondly, each DNA sequence is represented by a weighted directed multi graph based on that classification. Thirdly, the procedure has been implemented to find out the evolutionary relationship between various species of alpha globin and beta globin genes. Here a new mathematical tool has been constructed to derive similarity/dissimilarity matrix, to get suitable phylogenetic trees for each data set. It is completely alignment free approach and hence the time complexity is directly proportional to the sequence length, that is O(N). Moreover the classification rule will decrease the complexity of graph constructions.
机译:通过相似度/不相似度分析研究不同物种之间的进化关系是一种基本方法。在这项工作中,首先将20个规范氨基酸和3个终止密码子(终止子)根据与频率表的64个密码子的频率作图分为五个不同的类别。其次,每个DNA序列由基于该分类的加权有向多重图表示。第三,已经实施了该程序以发现各种物种的α球蛋白和β球蛋白基因之间的进化关系。在这里,已经构造了一种新的数学工具来推导相似性/不相似性矩阵,以便为每个数据集获得合适的系统发育树。它是完全无比对的方法,因此时间复杂度与序列长度成正比,即O(N)。此外,分类规则将降低图形构造的复杂性。

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