Literature DB >> 20874400

Combinatorial structure of genome rearrangements scenarios.

Aïda Ouangraoua1, Anne Bergeron.   

Abstract

In genome rearrangement theory, one of the elusive questions raised in recent years is the enumeration of rearrangement scenarios between two genomes. This problem is related to the uniform generation of rearrangement scenarios and the derivation of tests of statistical significance of the properties of these scenarios. Here we give an exact formula for the number of double-cut-and-join (DCJ) rearrangement scenarios between two genomes. We also construct effective bijections between the set of scenarios that sort a component as well studied combinatorial objects such as parking functions, labeled trees, and prüfer codes.

Mesh:

Year:  2010        PMID: 20874400     DOI: 10.1089/cmb.2010.0126

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


  8 in total

1.  Implicit Transpositions in DCJ Scenarios.

Authors:  Pavel Avdeyev; Shuai Jiang; Max A Alekseyev
Journal:  Front Genet       Date:  2017-12-12       Impact factor: 4.599

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.  Estimation of the true evolutionary distance under the fragile breakage model.

Authors:  Nikita Alexeev; Max A Alekseyev
Journal:  BMC Genomics       Date:  2017-05-24       Impact factor: 3.969

4.  Finding local genome rearrangements.

Authors:  Pijus Simonaitis; Krister M Swenson
Journal:  Algorithms Mol Biol       Date:  2018-05-04       Impact factor: 1.405

5.  Models and algorithms for genome rearrangement with positional constraints.

Authors:  Krister M Swenson; Pijus Simonaitis; Mathieu Blanchette
Journal:  Algorithms Mol Biol       Date:  2016-05-17       Impact factor: 1.405

6.  Reconstruction of ancestral gene orders using intermediate genomes.

Authors:  Pedro Feijão
Journal:  BMC Bioinformatics       Date:  2015-10-02       Impact factor: 3.169

7.  Sampling and counting genome rearrangement scenarios.

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

8.  Analysis of local genome rearrangement improves resolution of ancestral genomic maps in plants.

Authors:  Diego P Rubert; Fábio V Martinez; Jens Stoye; Daniel Doerr
Journal:  BMC Genomics       Date:  2020-04-16       Impact factor: 3.969

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.