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conference paper

On Exploring Genome Rearrangement Phylogenetic Patterns

Xu, Andrew Wei
2010
Proceedings of the 8th RECOMB Workshop on Comparative Genomics RECOMB-CG 2010
RECOMB Workshop on Comparative Genomics RECOMB-CG 2010

The study of genorne rearrangement is much harder than the corresponding problems on DNA and protein sequences, because of the occurrences of numerous combinatorial structures. By explicitly exploring these combinatorial structures, the recently developed adequate subgraph theory shows that a family of these structures, adequate subgraphs, are informative in finding the optimal solutions to the rearrangement median problem. Its extension gives rise to the tree scoring method CASTS, which provides quick and accurate estimation of the number of rearrangement events, for any given topology. With a similar motivation, this paper discusses and provides solid but somewhat initial results, on combinatorial structures that are informative in phylogenetic inference. These structures, called rearrangement phylogenetic patterns, provide more insights than algorithmic approaches, and may provide statistical significance for inferred phylogenies and lead to efficient and robust phylogenetic inference methods on large sets of taxa.

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Type
conference paper
DOI
10.1007/978-3-642-16181-0_11
Web of Science ID

WOS:000289457100011

Author(s)
Xu, Andrew Wei
Date Issued

2010

Publisher

Springer-Verlag New York

Published in
Proceedings of the 8th RECOMB Workshop on Comparative Genomics RECOMB-CG 2010
Series title/Series vol.

Lecture Notes in Bioinformatics; 6398

Start page

121

End page

136

Subjects

Breakpoint Graphs

•

Gene-Order

•

Reconstruction

•

Permutations

•

Inversion

•

Evolution

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCBB  
Event nameEvent placeEvent date
RECOMB Workshop on Comparative Genomics RECOMB-CG 2010

Ottawa, CANADA

Oct 09-11, 2010

Available on Infoscience
February 21, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/77990
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