Development of bioinformatics tools for sequence data mining and virus discovery. [P40]
Most virus diversity studies focus on samples derived from humans, domesticated plants and domesticated animals. Yet these species only comprise a tiny fraction of all species currently living on Earth. Consequently, our knowledge of the virus diversity is probably drastically biased. Recent metagenomics-based studies have identified hundreds of unknown viruses living in uncultivated and cultivated hosts. While genomic, transcriptomic and metagenomic next generation sequencing datasets are exponentially increasing, a large part of the virus-related sequences are probably still missed because (i) bioinformatics tools are still under-developed and (ii) our scientific community does not always share datasets. It is therefore crucial to better share, clean, store and analyze these datasets in order to better describe and characterize the virus diversity. To fulfill this objective, we have developed over the last few years several computational tools: ThisIsNotAPipe: a pipeline for the analysis of multiplexed viral metagenomes, MetaXplor: a Web accessible NoSQL database dedicated to the storage and management of viral metagenomic datasets, EVEFinder: a tool for the research of endogenous viral elements (EVEs) in genomes of non-viral organisms, DarkMattor: a tool for the " dark matter " mining based on the research of proteic conserved domains.
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dig-cirad-fr-5832862022-03-30T11:53:53Z http://agritrop.cirad.fr/583286/ http://agritrop.cirad.fr/583286/ Development of bioinformatics tools for sequence data mining and virus discovery. [P40]. Filloux Denis, Petel Adrien, Sempere Guilhem, Claverie Sohini, Lefeuvre Pierre, Mahe Frédéric, Roumagnac Philippe. 2017. In : Livre des résumés des 16 ème Rencontres de virologie végétale. CIRAD, CNRS, INRA, IRD, SFP. Aussois : CIRAD-CNRS, 101. Rencontres de virologie végétale, Aussois, France, 15 Janvier 2017/19 Janvier 2017. Researchers Development of bioinformatics tools for sequence data mining and virus discovery. [P40] Filloux, Denis Petel, Adrien Sempere, Guilhem Claverie, Sohini Lefeuvre, Pierre Mahe, Frédéric Roumagnac, Philippe eng 2017 CIRAD Livre des résumés des 16 ème Rencontres de virologie végétale U10 - Informatique, mathématiques et statistiques S50 - Santé humaine L73 - Maladies des animaux Most virus diversity studies focus on samples derived from humans, domesticated plants and domesticated animals. Yet these species only comprise a tiny fraction of all species currently living on Earth. Consequently, our knowledge of the virus diversity is probably drastically biased. Recent metagenomics-based studies have identified hundreds of unknown viruses living in uncultivated and cultivated hosts. While genomic, transcriptomic and metagenomic next generation sequencing datasets are exponentially increasing, a large part of the virus-related sequences are probably still missed because (i) bioinformatics tools are still under-developed and (ii) our scientific community does not always share datasets. It is therefore crucial to better share, clean, store and analyze these datasets in order to better describe and characterize the virus diversity. To fulfill this objective, we have developed over the last few years several computational tools: ThisIsNotAPipe: a pipeline for the analysis of multiplexed viral metagenomes, MetaXplor: a Web accessible NoSQL database dedicated to the storage and management of viral metagenomic datasets, EVEFinder: a tool for the research of endogenous viral elements (EVEs) in genomes of non-viral organisms, DarkMattor: a tool for the " dark matter " mining based on the research of proteic conserved domains. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/583286/1/ID583286.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html |
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U10 - Informatique, mathématiques et statistiques S50 - Santé humaine L73 - Maladies des animaux U10 - Informatique, mathématiques et statistiques S50 - Santé humaine L73 - Maladies des animaux Filloux, Denis Petel, Adrien Sempere, Guilhem Claverie, Sohini Lefeuvre, Pierre Mahe, Frédéric Roumagnac, Philippe Development of bioinformatics tools for sequence data mining and virus discovery. [P40] |
description |
Most virus diversity studies focus on samples derived from humans, domesticated plants and domesticated animals. Yet these species only comprise a tiny fraction of all species currently living on Earth. Consequently, our knowledge of the virus diversity is probably drastically biased. Recent metagenomics-based studies have identified hundreds of unknown viruses living in uncultivated and cultivated hosts. While genomic, transcriptomic and metagenomic next generation sequencing datasets are exponentially increasing, a large part of the virus-related sequences are probably still missed because (i) bioinformatics tools are still under-developed and (ii) our scientific community does not always share datasets. It is therefore crucial to better share, clean, store and analyze these datasets in order to better describe and characterize the virus diversity. To fulfill this objective, we have developed over the last few years several computational tools: ThisIsNotAPipe: a pipeline for the analysis of multiplexed viral metagenomes, MetaXplor: a Web accessible NoSQL database dedicated to the storage and management of viral metagenomic datasets, EVEFinder: a tool for the research of endogenous viral elements (EVEs) in genomes of non-viral organisms, DarkMattor: a tool for the " dark matter " mining based on the research of proteic conserved domains. |
format |
conference_item |
topic_facet |
U10 - Informatique, mathématiques et statistiques S50 - Santé humaine L73 - Maladies des animaux |
author |
Filloux, Denis Petel, Adrien Sempere, Guilhem Claverie, Sohini Lefeuvre, Pierre Mahe, Frédéric Roumagnac, Philippe |
author_facet |
Filloux, Denis Petel, Adrien Sempere, Guilhem Claverie, Sohini Lefeuvre, Pierre Mahe, Frédéric Roumagnac, Philippe |
author_sort |
Filloux, Denis |
title |
Development of bioinformatics tools for sequence data mining and virus discovery. [P40] |
title_short |
Development of bioinformatics tools for sequence data mining and virus discovery. [P40] |
title_full |
Development of bioinformatics tools for sequence data mining and virus discovery. [P40] |
title_fullStr |
Development of bioinformatics tools for sequence data mining and virus discovery. [P40] |
title_full_unstemmed |
Development of bioinformatics tools for sequence data mining and virus discovery. [P40] |
title_sort |
development of bioinformatics tools for sequence data mining and virus discovery. [p40] |
publisher |
CIRAD |
url |
http://agritrop.cirad.fr/583286/ http://agritrop.cirad.fr/583286/1/ID583286.pdf |
work_keys_str_mv |
AT fillouxdenis developmentofbioinformaticstoolsforsequencedataminingandvirusdiscoveryp40 AT peteladrien developmentofbioinformaticstoolsforsequencedataminingandvirusdiscoveryp40 AT sempereguilhem developmentofbioinformaticstoolsforsequencedataminingandvirusdiscoveryp40 AT claveriesohini developmentofbioinformaticstoolsforsequencedataminingandvirusdiscoveryp40 AT lefeuvrepierre developmentofbioinformaticstoolsforsequencedataminingandvirusdiscoveryp40 AT mahefrederic developmentofbioinformaticstoolsforsequencedataminingandvirusdiscoveryp40 AT roumagnacphilippe developmentofbioinformaticstoolsforsequencedataminingandvirusdiscoveryp40 |
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1758025247846563840 |