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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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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. |
format | Online Article Text |
id | pubmed-4002922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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