Literature DB >> 18689817

Poisson adjacency distributions in genome comparison: multichromosomal, circular, signed and unsigned cases.

Wei Xu1, Benoît Alain, David Sankoff.   

Abstract

The number of common adjacencies of genetic markers, as a measure of the similarity of two genomes, has been widely used as indicator of evolutionary relatedness and as the basis for inferring phylogenetic relationships. Its probability distribution enables statistical tests in detecting whether significant evolutionary signal remains in the marker order. In this article, we derive the probability distributions of the number of adjacencies for a number of types of genome--signed or unsigned, circular or linear, single-chromosome or multichromosomal. Generating functions are found for singlechromosome cases, from which exact counts can be calculated. Probability approaches are adopted for multichromosomal cases, where we.nd the exact values for expectations and variances. In both cases, the limiting distributions are derived in term of numbers of adjacencies. For all unsigned cases, the limiting distribution is Poisson with parameter 2; for all signed cases, the limiting distribution is Poisson with parameter (1/2).

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Year:  2008        PMID: 18689817     DOI: 10.1093/bioinformatics/btn295

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  6 in total

1.  Sets of medians in the non-geodesic pseudometric space of unsigned genomes with breakpoints.

Authors:  Arash Jamshidpey; Aryo Jamshidpey; David Sankoff
Journal:  BMC Genomics       Date:  2014-10-17       Impact factor: 3.969

2.  Medians seek the corners, and other conjectures.

Authors:  Maryam Haghighi; David Sankoff
Journal:  BMC Bioinformatics       Date:  2012-12-19       Impact factor: 3.169

3.  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

4.  On the distribution of cycles and paths in multichromosomal breakpoint graphs and the expected value of rearrangement distance.

Authors:  Pedro Feijão; Fábio Martinez; Annelyse Thévenin
Journal:  BMC Bioinformatics       Date:  2015-12-16       Impact factor: 3.169

5.  Compromise or optimize? The breakpoint anti-median.

Authors:  Caroline Anne Larlee; Alex Brandts; David Sankoff
Journal:  BMC Bioinformatics       Date:  2016-12-15       Impact factor: 3.169

6.  Generalized adjacency and the conservation of gene clusters in genetic networks defined by synthetic lethals.

Authors:  Zhenyu Yang; David Sankoff
Journal:  BMC Bioinformatics       Date:  2012-06-11       Impact factor: 3.169

  6 in total

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