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Characterising genome architectures using genome decomposition analysis

Genome architecture describes how genes and other features are arranged in genomes. These arrangements reflect the evolutionary pressures on genomes and underlie biological processes such as chromosomal segregation and the regulation of gene expression. We present a new tool called Genome Decomposit...

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Detalles Bibliográficos
Autores principales: Aunin, Eerik, Berriman, Matthew, Reid, Adam James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131526/
https://www.ncbi.nlm.nih.gov/pubmed/35610562
http://dx.doi.org/10.1186/s12864-022-08616-3
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author Aunin, Eerik
Berriman, Matthew
Reid, Adam James
author_facet Aunin, Eerik
Berriman, Matthew
Reid, Adam James
author_sort Aunin, Eerik
collection PubMed
description Genome architecture describes how genes and other features are arranged in genomes. These arrangements reflect the evolutionary pressures on genomes and underlie biological processes such as chromosomal segregation and the regulation of gene expression. We present a new tool called Genome Decomposition Analysis (GDA) that characterises genome architectures and acts as an accessible approach for discovering hidden features of a genome assembly. With the imminent deluge of high-quality genome assemblies from projects such as the Darwin Tree of Life and the Earth BioGenome Project, GDA has been designed to facilitate their exploration and the discovery of novel genome biology. We highlight the effectiveness of our approach in characterising the genome architectures of single-celled eukaryotic parasites from the phylum Apicomplexa and show that it scales well to large genomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08616-3.
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spelling pubmed-91315262022-05-26 Characterising genome architectures using genome decomposition analysis Aunin, Eerik Berriman, Matthew Reid, Adam James BMC Genomics Research Genome architecture describes how genes and other features are arranged in genomes. These arrangements reflect the evolutionary pressures on genomes and underlie biological processes such as chromosomal segregation and the regulation of gene expression. We present a new tool called Genome Decomposition Analysis (GDA) that characterises genome architectures and acts as an accessible approach for discovering hidden features of a genome assembly. With the imminent deluge of high-quality genome assemblies from projects such as the Darwin Tree of Life and the Earth BioGenome Project, GDA has been designed to facilitate their exploration and the discovery of novel genome biology. We highlight the effectiveness of our approach in characterising the genome architectures of single-celled eukaryotic parasites from the phylum Apicomplexa and show that it scales well to large genomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08616-3. BioMed Central 2022-05-25 /pmc/articles/PMC9131526/ /pubmed/35610562 http://dx.doi.org/10.1186/s12864-022-08616-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Aunin, Eerik
Berriman, Matthew
Reid, Adam James
Characterising genome architectures using genome decomposition analysis
title Characterising genome architectures using genome decomposition analysis
title_full Characterising genome architectures using genome decomposition analysis
title_fullStr Characterising genome architectures using genome decomposition analysis
title_full_unstemmed Characterising genome architectures using genome decomposition analysis
title_short Characterising genome architectures using genome decomposition analysis
title_sort characterising genome architectures using genome decomposition analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131526/
https://www.ncbi.nlm.nih.gov/pubmed/35610562
http://dx.doi.org/10.1186/s12864-022-08616-3
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