Literature DB >> 20377459

Sorting signed permutations by inversions in O(nlogn) time.

Krister M Swenson1, Vaibhav Rajan, Yu Lin, Bernard M E Moret.   

Abstract

The study of genomic inversions (or reversals) has been a mainstay of computational genomics for nearly 20 years. After the initial breakthrough of Hannenhalli and Pevzner, who gave the first polynomial-time algorithm for sorting signed permutations by inversions, improved algorithms have been designed, culminating with an optimal linear-time algorithm for computing the inversion distance and a subquadratic algorithm for providing a shortest sequence of inversions--also known as sorting by inversions. Remaining open was the question of whether sorting by inversions could be done in O(nlogn) time. In this article, we present a qualified answer to this question, by providing two new sorting algorithms, a simple and fast randomized algorithm and a deterministic refinement. The deterministic algorithm runs in time O(nlogn + kn), where k is a data-dependent parameter. We provide the results of extensive experiments showing that both the average and the standard deviation for k are small constants, independent of the size of the permutation. We conclude (but do not prove) that almost all signed permutations can be sorted by inversions in O(nlogn) time.

Mesh:

Year:  2010        PMID: 20377459     DOI: 10.1089/cmb.2009.0184

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


  3 in total

1.  Sampling solution traces for the problem of sorting permutations by signed reversals.

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Journal:  Algorithms Mol Biol       Date:  2012-06-15       Impact factor: 1.405

2.  Large-scale mammalian genome rearrangements coincide with chromatin interactions.

Authors:  Krister M Swenson; Mathieu Blanchette
Journal:  Bioinformatics       Date:  2019-07-15       Impact factor: 6.937

3.  Sampling and counting genome rearrangement scenarios.

Authors:  István Miklós; Heather Smith
Journal:  BMC Bioinformatics       Date:  2015-10-02       Impact factor: 3.169

  3 in total

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