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DUPCAR: reconstructing contiguous ancestral regions with duplications.

Authors
Type
Published Article
Journal
Journal of Computational Biology
Publisher
Mary Ann Liebert
Publication Date
Oct 15, 2008
Volume
15
Issue
8
Pages
1007–1007
Identifiers
DOI: 10.1089/cmb.2008.0069
PMID: 18774902
PMCID: PMC3205822
Source
UCSC Bioengineering biomedical-ucsc
License
Green

Abstract

Accurately reconstructing the large-scale gene order in an ancestral genome is a critical step to better understand genome evolution. In this paper, we propose a heuristic algorithm, called DUPCAR, for reconstructing ancestral genomic orders with duplications. The method starts from the order of genes in modern genomes and predicts predecessor and successor relationships in the ancestor. Then a greedy algorithm is used to reconstruct the ancestral orders by connecting genes into contiguous regions based on predicted adjacencies. Computer simulation was used to validate the algorithm. We also applied the method to reconstruct the ancestral chromosome X of placental mammals and the ancestral genomes of the ciliate Paramecium tetraurelia.

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