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plotsr: visualizing structural similarities and rearrangements between multiple genomes

SUMMARY: Third-generation genome sequencing technologies have led to a sharp increase in the number of high-quality genome assemblies. This allows the comparison of multiple assembled genomes of individual species and demands new tools for visualizing their structural properties. Here, we present pl...

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Detalles Bibliográficos
Autores principales: Goel, Manish, Schneeberger, Korbinian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113368/
https://www.ncbi.nlm.nih.gov/pubmed/35561173
http://dx.doi.org/10.1093/bioinformatics/btac196
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author Goel, Manish
Schneeberger, Korbinian
author_facet Goel, Manish
Schneeberger, Korbinian
author_sort Goel, Manish
collection PubMed
description SUMMARY: Third-generation genome sequencing technologies have led to a sharp increase in the number of high-quality genome assemblies. This allows the comparison of multiple assembled genomes of individual species and demands new tools for visualizing their structural properties. Here, we present plotsr, an efficient tool to visualize structural similarities and rearrangements between genomes. It can be used to compare genomes on chromosome level or to zoom in on any selected region. In addition, plotsr can augment the visualization with regional identifiers (e.g. genes or genomic markers) or histogram tracks for continuous features (e.g. GC content or polymorphism density). AVAILABILITY AND IMPLEMENTATION: plotsr is implemented as a python package and uses the standard matplotlib library for plotting. It is freely available under the MIT license at GitHub (https://github.com/schneebergerlab/plotsr) and bioconda (https://anaconda.org/bioconda/plotsr). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-91133682022-05-18 plotsr: visualizing structural similarities and rearrangements between multiple genomes Goel, Manish Schneeberger, Korbinian Bioinformatics Applications Notes SUMMARY: Third-generation genome sequencing technologies have led to a sharp increase in the number of high-quality genome assemblies. This allows the comparison of multiple assembled genomes of individual species and demands new tools for visualizing their structural properties. Here, we present plotsr, an efficient tool to visualize structural similarities and rearrangements between genomes. It can be used to compare genomes on chromosome level or to zoom in on any selected region. In addition, plotsr can augment the visualization with regional identifiers (e.g. genes or genomic markers) or histogram tracks for continuous features (e.g. GC content or polymorphism density). AVAILABILITY AND IMPLEMENTATION: plotsr is implemented as a python package and uses the standard matplotlib library for plotting. It is freely available under the MIT license at GitHub (https://github.com/schneebergerlab/plotsr) and bioconda (https://anaconda.org/bioconda/plotsr). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-04-15 /pmc/articles/PMC9113368/ /pubmed/35561173 http://dx.doi.org/10.1093/bioinformatics/btac196 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Goel, Manish
Schneeberger, Korbinian
plotsr: visualizing structural similarities and rearrangements between multiple genomes
title plotsr: visualizing structural similarities and rearrangements between multiple genomes
title_full plotsr: visualizing structural similarities and rearrangements between multiple genomes
title_fullStr plotsr: visualizing structural similarities and rearrangements between multiple genomes
title_full_unstemmed plotsr: visualizing structural similarities and rearrangements between multiple genomes
title_short plotsr: visualizing structural similarities and rearrangements between multiple genomes
title_sort plotsr: visualizing structural similarities and rearrangements between multiple genomes
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113368/
https://www.ncbi.nlm.nih.gov/pubmed/35561173
http://dx.doi.org/10.1093/bioinformatics/btac196
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