Literature DB >> 30288640

Position and Content Paradigms in Genome Rearrangements: The Wild and Crazy World of Permutations in Genomics.

Sangeeta Bhatia1,2, Pedro Feijão3, Andrew R Francis4.   

Abstract

Modellers of large-scale genome rearrangement events, in which segments of DNA are inverted, moved, swapped, or even inserted or deleted, have found a natural syntax in the language of permutations. Despite this, there has been a wide range of modelling choices, assumptions and interpretations that make navigating the literature a significant challenge. Indeed, even authors of papers that use permutations to model genome rearrangement can struggle to interpret each others' work, because of subtle differences in basic assumptions that are often deeply ingrained (and consequently sometimes not even mentioned). In this paper, we describe the different ways in which permutations have been used to model genomes and genome rearrangement events, presenting some features and limitations of each approach, and show how the various models are related. This paper will help researchers navigate the landscape of permutation-based genome rearrangement models and make it easier for authors to present clear and consistent models.

Keywords:  Double cut and join; Genome rearrangement; Inversion; Permutation; Symmetric group

Mesh:

Year:  2018        PMID: 30288640     DOI: 10.1007/s11538-018-0514-3

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  2 in total

1.  A new algebraic approach to genome rearrangement models.

Authors:  Venta Terauds; Jeremy Sumner
Journal:  J Math Biol       Date:  2022-05-05       Impact factor: 2.164

2.  A Path-Deformation Framework for Determining Weighted Genome Rearrangement Distance.

Authors:  Sangeeta Bhatia; Attila Egri-Nagy; Stuart Serdoz; Cheryl E Praeger; Volker Gebhardt; Andrew Francis
Journal:  Front Genet       Date:  2020-09-24       Impact factor: 4.599

  2 in total

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