Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Steps toward accurate reconstructions of phylogenies from gene-order data
Journal of Computer and System Sciences - Computational biology 2002
On the Practical Solution of the Reversal Median Problem
WABI '01 Proceedings of the First International Workshop on Algorithms in Bioinformatics
Finding an Optimal Inversion Median: Experimental Results
WABI '01 Proceedings of the First International Workshop on Algorithms in Bioinformatics
Inversion Medians Outperform Breakpoint Medians in Phylogeny Reconstruction from Gene-Order Data
WABI '02 Proceedings of the Second International Workshop on Algorithms in Bioinformatics
The Median Problem for Breakpoints in Comparative Genomics
COCOON '97 Proceedings of the Third Annual International Conference on Computing and Combinatorics
Transforming men into mice (polynomial algorithm for genomic distance problem)
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
INFORMS Journal on Computing
Using median sets for inferring phylogenetic trees
Bioinformatics
Reversal and transposition medians
Theoretical Computer Science
HP Distance Via Double Cut and Join Distance
CPM '08 Proceedings of the 19th annual symposium on Combinatorial Pattern Matching
Decompositions of Multiple Breakpoint Graphs and Rapid Exact Solutions to the Median Problem
WABI '08 Proceedings of the 8th international workshop on Algorithms in Bioinformatics
A new linear time algorithm to compute the genomic distance via the double cut and join distance
Theoretical Computer Science
A unifying view of genome rearrangements
WABI'06 Proceedings of the 6th international conference on Algorithms in Bioinformatics
Evolution of genome organization by duplication and loss: an alignment approach
RECOMB'12 Proceedings of the 16th Annual international conference on Research in Computational Molecular Biology
Hi-index | 0.00 |
Genome rearrangements are a valuable source of information about early evolution, as well as an important factor in speciation processes. Reconstruction of ancestral gene orders on a phylogeny is thus one of the crucial tools contributing to understanding of evolution of genome organization. For most models of evolution, this problem is NP-hard. We have developed a universal method for reconstruction of ancestral gene orders by parsimony (PIVO) using an iterative local optimization procedure. Our method can be applied to different rearrangement models. Combined with a sufficently rich model, such as the double cut and join (DCJ), it can support a mixture of different chromosomal architectures in the same tree. We show that PIVO can outperform previously used steinerization framework and achieves better results on real data than previously published methods. Datasets, reconstructed histories, and the software can be downloaded at http://compbio.fmph.uniba.sk/pivo/