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Genome rearrangement in mitochondria and its computational biology

Abstract:

In the first part of this paper, we investigate gene orders of closely related mitochondrial genomes for studying the properties of mutations rearranging genes in mitochondria. Our conclusions are that the evolution of mitochondrial genomes is more complicated than it is considered in recent methods, and stochastic modelling is necessary for its deeper understanding and more accurate inferring. The second part is a review on the Markov chain Monte Carlo approaches for the stochastic modelling...

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Publication status:
Published

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Volume:
3388
Pages:
85-96
Publication date:
2005-01-01
ISSN:
0302-9743
URN:
uuid:3afef4aa-1464-4055-a284-fe8e0c60b006
Source identifiers:
102915
Local pid:
pubs:102915
ISBN:
3-540-24455-7

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