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Getting insight into the pan-genome structure with PangTree

BACKGROUND: The term pan-genome was proposed to denominate collections of genomic sequences jointly analyzed or used as a reference. The constant growth of genomic data intensifies development of data structures and algorithms to investigate pan-genomes efficiently. RESULTS: This work focuses on pro...

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Autores principales: Dziadkiewicz, Paulina, Dojer, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161101/
https://www.ncbi.nlm.nih.gov/pubmed/32299360
http://dx.doi.org/10.1186/s12864-020-6610-4
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author Dziadkiewicz, Paulina
Dojer, Norbert
author_facet Dziadkiewicz, Paulina
Dojer, Norbert
author_sort Dziadkiewicz, Paulina
collection PubMed
description BACKGROUND: The term pan-genome was proposed to denominate collections of genomic sequences jointly analyzed or used as a reference. The constant growth of genomic data intensifies development of data structures and algorithms to investigate pan-genomes efficiently. RESULTS: This work focuses on providing a tool for discovering and visualizing the relationships between the sequences constituting a pan-genome. A new structure to represent such relationships – called affinity tree – is proposed. Each node of this tree has assigned a subset of genomes, as well as their homogeneity level and averaged consensus sequence. Moreover, subsets assigned to sibling nodes form a partition of the genomes assigned to their parent. CONCLUSIONS: Functionality of affinity tree is demonstrated on simulated data and on the Ebola virus pan-genome. Furthermore, two software packages are provided: PangTreeBuild constructs affinity tree, while PangTreeVis presents its result.
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spelling pubmed-71611012020-04-22 Getting insight into the pan-genome structure with PangTree Dziadkiewicz, Paulina Dojer, Norbert BMC Genomics Research BACKGROUND: The term pan-genome was proposed to denominate collections of genomic sequences jointly analyzed or used as a reference. The constant growth of genomic data intensifies development of data structures and algorithms to investigate pan-genomes efficiently. RESULTS: This work focuses on providing a tool for discovering and visualizing the relationships between the sequences constituting a pan-genome. A new structure to represent such relationships – called affinity tree – is proposed. Each node of this tree has assigned a subset of genomes, as well as their homogeneity level and averaged consensus sequence. Moreover, subsets assigned to sibling nodes form a partition of the genomes assigned to their parent. CONCLUSIONS: Functionality of affinity tree is demonstrated on simulated data and on the Ebola virus pan-genome. Furthermore, two software packages are provided: PangTreeBuild constructs affinity tree, while PangTreeVis presents its result. BioMed Central 2020-04-16 /pmc/articles/PMC7161101/ /pubmed/32299360 http://dx.doi.org/10.1186/s12864-020-6610-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dziadkiewicz, Paulina
Dojer, Norbert
Getting insight into the pan-genome structure with PangTree
title Getting insight into the pan-genome structure with PangTree
title_full Getting insight into the pan-genome structure with PangTree
title_fullStr Getting insight into the pan-genome structure with PangTree
title_full_unstemmed Getting insight into the pan-genome structure with PangTree
title_short Getting insight into the pan-genome structure with PangTree
title_sort getting insight into the pan-genome structure with pangtree
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161101/
https://www.ncbi.nlm.nih.gov/pubmed/32299360
http://dx.doi.org/10.1186/s12864-020-6610-4
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