Literature DB >> 17572021

Paths and cycles in breakpoint graph of random multichromosomal genomes.

Wei Xu1, Chunfang Zheng, David Sankoff.   

Abstract

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 - 1/2chi - 1/2 log n+chi/2chi. 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.

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Year:  2007        PMID: 17572021     DOI: 10.1089/cmb.2007.A004

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  2 in total

1.  The rise and fall of breakpoint reuse depending on genome resolution.

Authors:  Oliver Attie; Aaron E Darling; Sophia Yancopoulos
Journal:  BMC Bioinformatics       Date:  2011-10-05       Impact factor: 3.169

2.  Orthology detection combining clustering and synteny for very large datasets.

Authors:  Marcus Lechner; Maribel Hernandez-Rosales; Daniel Doerr; Nicolas Wieseke; Annelyse Thévenin; Jens Stoye; Roland K Hartmann; Sonja J Prohaska; Peter F Stadler
Journal:  PLoS One       Date:  2014-08-19       Impact factor: 3.240

  2 in total

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