Evidence map›Paper›PMID 25502846›Full record

ArticleJournal of mathematical biology2015

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

Sangeeta Bhatia, Attila Egri-Nagy, Andrew R Francis

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Article in Journal of mathematical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sangeeta BhatiaCentre for Research in Mathematics, University of Western Sydney, Penrith, NSW, 2751, Australia. s.bhatia@uws.edu.au.
Attila Egri-NagyCentre for Research in Mathematics, University of Western Sydney, Penrith, NSW, 2751, Australia. a.egri-nagy@uws.edu.au.
Andrew R FrancisCentre for Research in Mathematics, University of Western Sydney, Penrith, NSW, 2751, Australia. a.francis@uws.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Establishing a distance between genomes is a significant problem in computational genomics, because its solution can be used to establish evolutionary relationships including phylogeny. The "double cut and join" (DCJ) model of chromosomal rearrangement proposed by Yancopoulos et al. (Bioinformatics 21:3340-3346, 2005) has received attention as it can model inversions, translocations, fusion and fission on a multichromosomal genome that may contain both linear and circular chromosomes. In this paper, we realize the DCJ operator as a group action on the space of multichromosomal genomes. We study this group action, deriving some properties of the group and finding group-theoretic analogues for the key results in the DCJ theory.

Indexed as

Gene RearrangementGenomeModels, GeneticChromosomesEvolution, MolecularGenomicsMathematical ConceptsPhylogenyAlgebraic biologyDouble cut and joinGenome rearrangementsGroup theoryInversion

Identifiers

PMID25502846

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.