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Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing

Since 2010, the Genomicus web server is available online at http://genomicus.biologie.ens.fr/genomicus. This graphical browser provides access to comparative genomic analyses in four different phyla (Vertebrate, Plants, Fungi, and non vertebrate Metazoans). Users can analyse genomic information from...

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Detalles Bibliográficos
Autores principales: Nguyen, Nga Thi Thuy, Vincens, Pierre, Roest Crollius, Hugues, Louis, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753199/
https://www.ncbi.nlm.nih.gov/pubmed/29087490
http://dx.doi.org/10.1093/nar/gkx1003
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author Nguyen, Nga Thi Thuy
Vincens, Pierre
Roest Crollius, Hugues
Louis, Alexandra
author_facet Nguyen, Nga Thi Thuy
Vincens, Pierre
Roest Crollius, Hugues
Louis, Alexandra
author_sort Nguyen, Nga Thi Thuy
collection PubMed
description Since 2010, the Genomicus web server is available online at http://genomicus.biologie.ens.fr/genomicus. This graphical browser provides access to comparative genomic analyses in four different phyla (Vertebrate, Plants, Fungi, and non vertebrate Metazoans). Users can analyse genomic information from extant species, as well as ancestral gene content and gene order for vertebrates and flowering plants, in an integrated evolutionary context. New analyses and visualization tools have recently been implemented in Genomicus Vertebrate. Karyotype structures from several genomes can now be compared along an evolutionary pathway (Multi-KaryotypeView), and synteny blocks can be computed and visualized between any two genomes (PhylDiagView).
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spelling pubmed-57531992018-01-05 Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing Nguyen, Nga Thi Thuy Vincens, Pierre Roest Crollius, Hugues Louis, Alexandra Nucleic Acids Res Database Issue Since 2010, the Genomicus web server is available online at http://genomicus.biologie.ens.fr/genomicus. This graphical browser provides access to comparative genomic analyses in four different phyla (Vertebrate, Plants, Fungi, and non vertebrate Metazoans). Users can analyse genomic information from extant species, as well as ancestral gene content and gene order for vertebrates and flowering plants, in an integrated evolutionary context. New analyses and visualization tools have recently been implemented in Genomicus Vertebrate. Karyotype structures from several genomes can now be compared along an evolutionary pathway (Multi-KaryotypeView), and synteny blocks can be computed and visualized between any two genomes (PhylDiagView). Oxford University Press 2018-01-04 2017-10-26 /pmc/articles/PMC5753199/ /pubmed/29087490 http://dx.doi.org/10.1093/nar/gkx1003 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Nguyen, Nga Thi Thuy
Vincens, Pierre
Roest Crollius, Hugues
Louis, Alexandra
Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing
title Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing
title_full Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing
title_fullStr Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing
title_full_unstemmed Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing
title_short Genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing
title_sort genomicus 2018: karyotype evolutionary trees and on-the-fly synteny computing
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753199/
https://www.ncbi.nlm.nih.gov/pubmed/29087490
http://dx.doi.org/10.1093/nar/gkx1003
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