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PhEVER: a database for the global exploration of virus–host evolutionary relationships

Fast viral adaptation and the implication of this rapid evolution in the emergence of several new infectious diseases have turned this issue into a major challenge for various research domains. Indeed, viruses are involved in the development of a wide range of pathologies and understanding how virus...

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Autores principales: Palmeira, Leonor, Penel, Simon, Lotteau, Vincent, Rabourdin-Combe, Chantal, Gautier, Christian
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013642/
https://www.ncbi.nlm.nih.gov/pubmed/21081560
http://dx.doi.org/10.1093/nar/gkq1013
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author Palmeira, Leonor
Penel, Simon
Lotteau, Vincent
Rabourdin-Combe, Chantal
Gautier, Christian
author_facet Palmeira, Leonor
Penel, Simon
Lotteau, Vincent
Rabourdin-Combe, Chantal
Gautier, Christian
author_sort Palmeira, Leonor
collection PubMed
description Fast viral adaptation and the implication of this rapid evolution in the emergence of several new infectious diseases have turned this issue into a major challenge for various research domains. Indeed, viruses are involved in the development of a wide range of pathologies and understanding how viruses and host cells interact in the context of adaptation remains an open question. In order to provide insights into the complex interactions between viruses and their host organisms and namely in the acquisition of novel functions through exchanges of genetic material, we developed the PhEVER database. This database aims at providing accurate evolutionary and phylogenetic information to analyse the nature of virus–virus and virus–host lateral gene transfers. PhEVER (http://pbil.univ-lyon1.fr/databases/phever) is a unique database of homologous families both (i) between sequences from different viruses and (ii) between viral sequences and sequences from cellular organisms. PhEVER integrates extensive data from up-to-date completely sequenced genomes (2426 non-redundant viral genomes, 1007 non-redundant prokaryotic genomes, 43 eukaryotic genomes ranging from plants to vertebrates) and offers a clustering of proteins into homologous families containing at least one viral sequences, as well as alignments and phylogenies for each of these families. Public access to PhEVER is available through its webpage and through all dedicated ACNUC retrieval systems.
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spelling pubmed-30136422011-01-03 PhEVER: a database for the global exploration of virus–host evolutionary relationships Palmeira, Leonor Penel, Simon Lotteau, Vincent Rabourdin-Combe, Chantal Gautier, Christian Nucleic Acids Res Articles Fast viral adaptation and the implication of this rapid evolution in the emergence of several new infectious diseases have turned this issue into a major challenge for various research domains. Indeed, viruses are involved in the development of a wide range of pathologies and understanding how viruses and host cells interact in the context of adaptation remains an open question. In order to provide insights into the complex interactions between viruses and their host organisms and namely in the acquisition of novel functions through exchanges of genetic material, we developed the PhEVER database. This database aims at providing accurate evolutionary and phylogenetic information to analyse the nature of virus–virus and virus–host lateral gene transfers. PhEVER (http://pbil.univ-lyon1.fr/databases/phever) is a unique database of homologous families both (i) between sequences from different viruses and (ii) between viral sequences and sequences from cellular organisms. PhEVER integrates extensive data from up-to-date completely sequenced genomes (2426 non-redundant viral genomes, 1007 non-redundant prokaryotic genomes, 43 eukaryotic genomes ranging from plants to vertebrates) and offers a clustering of proteins into homologous families containing at least one viral sequences, as well as alignments and phylogenies for each of these families. Public access to PhEVER is available through its webpage and through all dedicated ACNUC retrieval systems. Oxford University Press 2011-01 2010-11-16 /pmc/articles/PMC3013642/ /pubmed/21081560 http://dx.doi.org/10.1093/nar/gkq1013 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Palmeira, Leonor
Penel, Simon
Lotteau, Vincent
Rabourdin-Combe, Chantal
Gautier, Christian
PhEVER: a database for the global exploration of virus–host evolutionary relationships
title PhEVER: a database for the global exploration of virus–host evolutionary relationships
title_full PhEVER: a database for the global exploration of virus–host evolutionary relationships
title_fullStr PhEVER: a database for the global exploration of virus–host evolutionary relationships
title_full_unstemmed PhEVER: a database for the global exploration of virus–host evolutionary relationships
title_short PhEVER: a database for the global exploration of virus–host evolutionary relationships
title_sort phever: a database for the global exploration of virus–host evolutionary relationships
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013642/
https://www.ncbi.nlm.nih.gov/pubmed/21081560
http://dx.doi.org/10.1093/nar/gkq1013
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