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首页> 外文期刊>Journal of computational biology: A journal of computational molecular cell biology >Paths and cycles in breakpoint graph of random multichromosomal genomes
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Paths and cycles in breakpoint graph of random multichromosomal genomes

机译:随机多染色体基因组断点图中的路径和循环

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We study the probability distribution of the distance d = n + chi - kappa - psi between two genomes with n markers distributed on chi chromosomes and with breakpoint graphs containing kappa cycles and psi " good" paths, under the hypothesis of random gene order. We interpret the random order assumption in terms of a stochastic method for constructing the bicolored breakpoint graph. We show that the limiting expectation of E[d] = n - 1/2 chi - 1/2 log n+chi/2 chi. We also calculate the variance, the effect of different numbers of chromosomes in the two genomes, and the number of plasmids, or circular chromosomes, generated by the random breakpoint graph construction. A more realistic model allows intra- and interchromosomal operations to have different probabilities, and simulations show that for a fixed number of rearrangements, kappa and d depend on the relative proportions of the two kinds of operation.
机译:我们在随机基因顺序的假设下,研究了两个基因组之间的距离d = n + chi-kappa-psi的概率分布,其中n个标记分布在chi染色体上,并且断裂点图包含kappa循环和psi“良好”路径。我们根据构建双色断点图的随机方法来解释随机顺序假设。我们表明E [d]的极限期望= n-1/2 chi-1/2 log n + chi / 2 chi。我们还计算了方差,两个基因组中不同数目的染色体的影响,以及由随机断点图构建生成的质粒或环状染色体的数目。更现实的模型允许染色体内和染色体间的操作具有不同的概率,并且仿真显示,对于固定数目的重排,κ和d取决于两种操作的相对比例。

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