2008
DOI: 10.1089/cmb.2008.0069
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DUPCAR: Reconstructing Contiguous Ancestral Regions with Duplications

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 pre… Show more

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Cited by 54 publications
(52 citation statements)
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References 33 publications
(35 reference statements)
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“…Given a set of SFs B, the SF graph is an undirected graph G = (V, E), where V = {b h , b t jb ∈ B} is the set of vertices that represents the head b h and tail b t of a SF b, and E is the set of undirected edges. The idea is analogous to the breakpoint graph that was used in genome rearrangement analysis (29,30). The edge between two SFs can be created by connecting either the head or tail vertices of each SF, which represents both the order and orientation of SFs.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Given a set of SFs B, the SF graph is an undirected graph G = (V, E), where V = {b h , b t jb ∈ B} is the set of vertices that represents the head b h and tail b t of a SF b, and E is the set of undirected edges. The idea is analogous to the breakpoint graph that was used in genome rearrangement analysis (29,30). The edge between two SFs can be created by connecting either the head or tail vertices of each SF, which represents both the order and orientation of SFs.…”
Section: Methodsmentioning
confidence: 99%
“…The degree and cycle constraints ensure that each connected component is actually a chain of SFs (without cycle), and each SF is adjacent with only one SF. The SF ordering problem is analogous to the minimum path cover problem and it is known as NP-hard (30). Therefore, we developed a greedy algorithm as an approximate solution to solve the SF ordering problem, which constructs the chains of SFs by merging two adjacent SFs with the highest edge weight first at each step (SI Appendix).…”
Section: Methodsmentioning
confidence: 99%
“…In this paper, we have corrected an algorithm for isometric gene tree reconciliation, first presented by Ma et al [1,2] in the context of reconstruction of evolutionary histories in the infinite sites model. We have also improved the running time of the algorithm from O(N 2 ) to O(N log N ), where N is the total size of the two input trees.…”
Section: Discussionmentioning
confidence: 99%
“…The two papers by Ma et al [1,2] include the same algorithm for isometric gene tree reconciliation in the case when the input gene tree G I is unrooted and the species tree S I is rooted. In this section, we describe some of its details and point out mistakes in the original paper.…”
Section: Problems In the Original Algorithmmentioning
confidence: 99%
“…If gene families are described with reconciled trees with duplications, the software DupCAR [68] proposes the reconstruction of ancestral adjacencies. Nevertheless, its possible applications are rather limited as it does not handle losses and requires fully dated gene trees and species tree, in order to compute reconciliations that are compatible with the provided date information.…”
Section: Evolution Of Whole Genome With Adjacency Modelsmentioning
confidence: 99%