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Multifractal and cross-correlation analysis on mitochondrial genome sequences using chaos game representation
Mitochondrion ( IF 4.4 ) Pub Date : 2021-08-08 , DOI: 10.1016/j.mito.2021.08.006
N B Thummadi 1 , S Charutha 2 , Mayukha Pal 3 , P Manimaran 2
Affiliation  

We characterized the multifractality and power-law cross-correlation of mitochondrial genomes of various species through the recently developed method which combines the chaos game representation theory and 2D-multifractal detrended cross-correlation analysis. In the present paper, we analyzed 32 mitochondrial genomes of different species and the obtained results show that all the analyzed data exhibit multifractal nature and power-law cross-correlation behaviour. Further, we performed a cluster analysis from the calculated scaling exponents to identify the class affiliation and its outcome is represented as a dendrogram. We suggest that this integrative approach may help the researchers to understand the phylogeny of any kingdom with their varying genome lengths and also this approach may find applications in characterizing the protein sequences, mRNA sequences, next-generation sequencing, and drug development, etc.



中文翻译:

使用混沌游戏表示的线粒体基因组序列的多重分形和互相关分析

我们通过最近开发的结合混沌博弈表示理论和二维多重分形去趋势互相关分析的方法来表征各种物种线粒体基因组的多重分形和幂律互相关。在本文中,我们分析了 32 个不同物种的线粒体基因组,得到的结果表明,所有分析的数据都表现出多重分形性质和幂律互相关行为。此外,我们从计算的比例指数中进行了聚类分析,以识别类从属关系,其结果表示为树状图。我们建议这种综合方法可以帮助研究人员了解具有不同基因组长度的任何王国的系统发育,并且这种方法可能会在表征蛋白质序列中找到应用,

更新日期:2021-08-15
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