Literature DB >> 19747038

A fast and exact algorithm for the median of three problem: a graph decomposition approach.

Andrew Wei Xu1.   

Abstract

Abstract In a previous article, we have shown that adequate subgraphs can be used to decompose multiple breakpoint graphs, achieving a dramatic speedup in solving the median problem. In this article, focusing on the median of three problem, we prove more important properties about adequate subgraphs with rank 3 and discuss the algorithms inventorying simple adequate subgraphs. After finding simple adequate subgraphs of small sizes, we incorporate them into ASMedian, an algorithm to solve the median of three problem. Results on simulated data show dramatic speedup so that many instances can be solved very quickly, even ones containing hundreds or thousands of genes.

Mesh:

Year:  2009        PMID: 19747038     DOI: 10.1089/cmb.2009.0087

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  9 in total

1.  Building a pan-genome reference for a population.

Authors:  Ngan Nguyen; Glenn Hickey; Daniel R Zerbino; Brian Raney; Dent Earl; Joel Armstrong; W James Kent; David Haussler; Benedict Paten
Journal:  J Comput Biol       Date:  2015-01-07       Impact factor: 1.479

2.  Medians seek the corners, and other conjectures.

Authors:  Maryam Haghighi; David Sankoff
Journal:  BMC Bioinformatics       Date:  2012-12-19       Impact factor: 3.169

3.  Heuristics for the inversion median problem.

Authors:  Vaibhav Rajan; Andrew Wei Xu; Yu Lin; Krister M Swenson; Bernard M E Moret
Journal:  BMC Bioinformatics       Date:  2010-01-18       Impact factor: 3.169

4.  Rec-DCM-Eigen: reconstructing a less parsimonious but more accurate tree in shorter time.

Authors:  Seunghwa Kang; Jijun Tang; Stephen W Schaeffer; David A Bader
Journal:  PLoS One       Date:  2011-08-24       Impact factor: 3.240

5.  Near-medians that avoid the corners; a combinatorial probability approach.

Authors:  Caroline Larlee; Chunfang Zheng; David Sankoff
Journal:  BMC Genomics       Date:  2014-10-17       Impact factor: 3.969

6.  Compromise or optimize? The breakpoint anti-median.

Authors:  Caroline Anne Larlee; Alex Brandts; David Sankoff
Journal:  BMC Bioinformatics       Date:  2016-12-15       Impact factor: 3.169

7.  On pairwise distances and median score of three genomes under DCJ.

Authors:  Sergey Aganezov; Max A Alekseyev
Journal:  BMC Bioinformatics       Date:  2012-12-19       Impact factor: 3.169

8.  A unifying model of genome evolution under parsimony.

Authors:  Benedict Paten; Daniel R Zerbino; Glenn Hickey; David Haussler
Journal:  BMC Bioinformatics       Date:  2014-06-19       Impact factor: 3.169

9.  Achieving large and distant ancestral genome inference by using an improved discrete quantum-behaved particle swarm optimization algorithm.

Authors:  Zhaojuan Zhang; Wanliang Wang; Ruofan Xia; Gaofeng Pan; Jiandong Wang; Jijun Tang
Journal:  BMC Bioinformatics       Date:  2020-11-11       Impact factor: 3.169

  9 in total

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