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Metavir 2: new tools for viral metagenome comparison and assembled virome analysis

BACKGROUND: Metagenomics, based on culture-independent sequencing, is a well-fitted approach to provide insights into the composition, structure and dynamics of environmental viral communities. Following recent advances in sequencing technologies, new challenges arise for existing bioinformatic tool...

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Autores principales: Roux, Simon, Tournayre, Jeremy, Mahul, Antoine, Debroas, Didier, Enault, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4002922/
https://www.ncbi.nlm.nih.gov/pubmed/24646187
http://dx.doi.org/10.1186/1471-2105-15-76
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author Roux, Simon
Tournayre, Jeremy
Mahul, Antoine
Debroas, Didier
Enault, François
author_facet Roux, Simon
Tournayre, Jeremy
Mahul, Antoine
Debroas, Didier
Enault, François
author_sort Roux, Simon
collection PubMed
description BACKGROUND: Metagenomics, based on culture-independent sequencing, is a well-fitted approach to provide insights into the composition, structure and dynamics of environmental viral communities. Following recent advances in sequencing technologies, new challenges arise for existing bioinformatic tools dedicated to viral metagenome (i.e. virome) analysis as (i) the number of viromes is rapidly growing and (ii) large genomic fragments can now be obtained by assembling the huge amount of sequence data generated for each metagenome. RESULTS: To face these challenges, a new version of Metavir was developed. First, all Metavir tools have been adapted to support comparative analysis of viromes in order to improve the analysis of multiple datasets. In addition to the sequence comparison previously provided, viromes can now be compared through their k-mer frequencies, their taxonomic compositions, recruitment plots and phylogenetic trees containing sequences from different datasets. Second, a new section has been specifically designed to handle assembled viromes made of thousands of large genomic fragments (i.e. contigs). This section includes an annotation pipeline for uploaded viral contigs (gene prediction, similarity search against reference viral genomes and protein domains) and an extensive comparison between contigs and reference genomes. Contigs and their annotations can be explored on the website through specifically developed dynamic genomic maps and interactive networks. CONCLUSIONS: The new features of Metavir 2 allow users to explore and analyze viromes composed of raw reads or assembled fragments through a set of adapted tools and a user-friendly interface.
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spelling pubmed-40029222014-04-30 Metavir 2: new tools for viral metagenome comparison and assembled virome analysis Roux, Simon Tournayre, Jeremy Mahul, Antoine Debroas, Didier Enault, François BMC Bioinformatics Software BACKGROUND: Metagenomics, based on culture-independent sequencing, is a well-fitted approach to provide insights into the composition, structure and dynamics of environmental viral communities. Following recent advances in sequencing technologies, new challenges arise for existing bioinformatic tools dedicated to viral metagenome (i.e. virome) analysis as (i) the number of viromes is rapidly growing and (ii) large genomic fragments can now be obtained by assembling the huge amount of sequence data generated for each metagenome. RESULTS: To face these challenges, a new version of Metavir was developed. First, all Metavir tools have been adapted to support comparative analysis of viromes in order to improve the analysis of multiple datasets. In addition to the sequence comparison previously provided, viromes can now be compared through their k-mer frequencies, their taxonomic compositions, recruitment plots and phylogenetic trees containing sequences from different datasets. Second, a new section has been specifically designed to handle assembled viromes made of thousands of large genomic fragments (i.e. contigs). This section includes an annotation pipeline for uploaded viral contigs (gene prediction, similarity search against reference viral genomes and protein domains) and an extensive comparison between contigs and reference genomes. Contigs and their annotations can be explored on the website through specifically developed dynamic genomic maps and interactive networks. CONCLUSIONS: The new features of Metavir 2 allow users to explore and analyze viromes composed of raw reads or assembled fragments through a set of adapted tools and a user-friendly interface. BioMed Central 2014-03-19 /pmc/articles/PMC4002922/ /pubmed/24646187 http://dx.doi.org/10.1186/1471-2105-15-76 Text en Copyright © 2014 Roux et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Software
Roux, Simon
Tournayre, Jeremy
Mahul, Antoine
Debroas, Didier
Enault, François
Metavir 2: new tools for viral metagenome comparison and assembled virome analysis
title Metavir 2: new tools for viral metagenome comparison and assembled virome analysis
title_full Metavir 2: new tools for viral metagenome comparison and assembled virome analysis
title_fullStr Metavir 2: new tools for viral metagenome comparison and assembled virome analysis
title_full_unstemmed Metavir 2: new tools for viral metagenome comparison and assembled virome analysis
title_short Metavir 2: new tools for viral metagenome comparison and assembled virome analysis
title_sort metavir 2: new tools for viral metagenome comparison and assembled virome analysis
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4002922/
https://www.ncbi.nlm.nih.gov/pubmed/24646187
http://dx.doi.org/10.1186/1471-2105-15-76
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