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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2011
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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. |
format | Text |
id | pubmed-3013642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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