Literature DB >> 24334378

Extending the algebraic formalism for genome rearrangements to include linear chromosomes.

Pedro Feijão1, João Meidanis2.   

Abstract

Algebraic rearrangement theory, as introduced by Meidanis and Dias, focuses on representing the order in which genes appear in chromosomes, and applies to circular chromosomes only. By shifting our attention to genome adjacencies, we introduce the adjacency algebraic theory, extending the original algebraic theory to linear chromosomes in a very natural way, also allowing the original algebraic distance formula to be used to the general multichromosomal case, with both linear and circular chromosomes. The resulting distance, which we call algebraic distance here, is very similar to, but not quite the same as, double-cut-and-join distance. We present linear time algorithms to compute it and to sort genomes. We show how to compute the rearrangement distance from the adjacency graph, for an easier comparison with other rearrangement distances. A thorough discussion on the relationship between the chromosomal and adjacency representation is also given, and we show how all classic rearrangement operations can be modeled using the algebraic theory.

Mesh:

Year:  2013        PMID: 24334378     DOI: 10.1109/TCBB.2012.161

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  6 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.  Algebraic double cut and join : A group-theoretic approach to the operator on multichromosomal genomes.

Authors:  Sangeeta Bhatia; Attila Egri-Nagy; Andrew R Francis
Journal:  J Math Biol       Date:  2014-12-11       Impact factor: 2.259

3.  On the distribution of cycles and paths in multichromosomal breakpoint graphs and the expected value of rearrangement distance.

Authors:  Pedro Feijão; Fábio Martinez; Annelyse Thévenin
Journal:  BMC Bioinformatics       Date:  2015-12-16       Impact factor: 3.169

4.  On the rank-distance median of 3 permutations.

Authors:  Leonid Chindelevitch; João Paulo Pereira Zanetti; João Meidanis
Journal:  BMC Bioinformatics       Date:  2018-05-08       Impact factor: 3.169

5.  A cubic algorithm for the generalized rank median of three genomes.

Authors:  Leonid Chindelevitch; Sean La; Joao Meidanis
Journal:  Algorithms Mol Biol       Date:  2019-07-26       Impact factor: 1.405

6.  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

  6 in total

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