Literature DB >> 26247343

An efficient algorithm for the contig ordering problem under algebraic rearrangement distance.

Chin Lung Lu1.   

Abstract

Assembling a genome from short reads currently obtained by next-generation sequencing techniques often results in a collection of contigs, whose relative position and orientation along the genome being sequenced are unknown. Given two sets of contigs, the contig ordering problem is to order and orient the contigs in each set such that the genome rearrangement distance between the resulting sets of ordered and oriented contigs is minimized. In this article, we utilize the permutation groups in algebra to propose a near-linear time algorithm for solving the contig ordering problem under algebraic rearrangement distance, where the algebraic rearrangement distance between two sets of ordered and oriented contigs is the minimum weight of applicable rearrangement operations required to transform one set into the other.

Keywords:  algebraic rearrangement distance; contig ordering problem; next generation sequencing; permutation group

Mesh:

Year:  2015        PMID: 26247343     DOI: 10.1089/cmb.2015.0073

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


  5 in total

1.  CSAR-web: a web server of contig scaffolding using algebraic rearrangements.

Authors:  Kun-Tze Chen; Chin Lung Lu
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

2.  Multi-CSAR: a web server for scaffolding contigs using multiple reference genomes.

Authors:  Shu-Cheng Liu; Yan-Ru Ju; Chin Lung Lu
Journal:  Nucleic Acids Res       Date:  2022-05-07       Impact factor: 19.160

3.  Chromosome structures: reduction of certain problems with unequal gene content and gene paralogs to integer linear programming.

Authors:  Vassily Lyubetsky; Roman Gershgorin; Konstantin Gorbunov
Journal:  BMC Bioinformatics       Date:  2017-12-06       Impact factor: 3.169

4.  Multi-CSAR: a multiple reference-based contig scaffolder using algebraic rearrangements.

Authors:  Kun-Tze Chen; Hsin-Ting Shen; Chin Lung Lu
Journal:  BMC Syst Biol       Date:  2018-12-31

5.  MAC: Merging Assemblies by Using Adjacency Algebraic Model and Classification.

Authors:  Li Tang; Min Li; Fang-Xiang Wu; Yi Pan; Jianxin Wang
Journal:  Front Genet       Date:  2020-01-31       Impact factor: 4.599

  5 in total

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