Development of MetaXplor: a viral metagenomics database. P29
Recent metagenomics‐based studies have identified hundreds of unknown viruses living in environmental and ornamental hosts. While genomic, transcriptomic and metagenomic next generation sequencing (NGS) datasets are exponentially increasing, a large part of the virus‐related sequences is 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. In order to fulfill this objective, we have developed a novel Web‐accessible NoSQL database – called MetaXplor – that archives reads and contigs obtained from viral metagenomics studies. This database also displays modules of (i) geolocalization of the samples, (ii) searches using similaritybased method (BLAST approaches), (iii) searches using Keywords:, and (iv) phylogenetic placements of the reads on reference phylogenetic trees.
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dig-cirad-fr-5875612019-01-21T17:01:25Z http://agritrop.cirad.fr/587561/ http://agritrop.cirad.fr/587561/ Development of MetaXplor: a viral metagenomics database. P29. Filloux Denis, Petel Adrien, Sempere Guilhem, Claverie Sohini, Lefeuvre Pierre, Mahe Frédéric, Roumagnac Philippe. 2018. In : Book of abstract Pathobiome 2018. INRA. Ajaccio : INRA, Résumé, 50. Pathobiome, Ajaccio, France, 18 Mars 2018/20 Mars 2018.https://colloque.inra.fr/pathobiome-2018/Abstract-book/Abstract-book <https://colloque.inra.fr/pathobiome-2018/Abstract-book/Abstract-book> Researchers Development of MetaXplor: a viral metagenomics database. P29 Filloux, Denis Petel, Adrien Sempere, Guilhem Claverie, Sohini Lefeuvre, Pierre Mahe, Frédéric Roumagnac, Philippe eng 2018 INRA Book of abstract Pathobiome 2018 Recent metagenomics‐based studies have identified hundreds of unknown viruses living in environmental and ornamental hosts. While genomic, transcriptomic and metagenomic next generation sequencing (NGS) datasets are exponentially increasing, a large part of the virus‐related sequences is 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. In order to fulfill this objective, we have developed a novel Web‐accessible NoSQL database – called MetaXplor – that archives reads and contigs obtained from viral metagenomics studies. This database also displays modules of (i) geolocalization of the samples, (ii) searches using similaritybased method (BLAST approaches), (iii) searches using Keywords:, and (iv) phylogenetic placements of the reads on reference phylogenetic trees. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/587561/1/ID587561.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://colloque.inra.fr/pathobiome-2018/Abstract-book/Abstract-book info:eu-repo/semantics/altIdentifier/purl/https://colloque.inra.fr/pathobiome-2018/Abstract-book/Abstract-book |
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Recent metagenomics‐based studies have identified hundreds of unknown viruses living in environmental and ornamental hosts. While genomic, transcriptomic and metagenomic next generation sequencing (NGS) datasets are exponentially increasing, a large part of the virus‐related sequences is 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. In order to fulfill this objective, we have developed a novel Web‐accessible NoSQL database – called MetaXplor – that archives reads and contigs obtained from viral metagenomics studies. This database also displays modules of (i) geolocalization of the samples, (ii) searches using similaritybased method (BLAST approaches), (iii) searches using Keywords:, and (iv) phylogenetic placements of the reads on reference phylogenetic trees. |
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conference_item |
author |
Filloux, Denis Petel, Adrien Sempere, Guilhem Claverie, Sohini Lefeuvre, Pierre Mahe, Frédéric Roumagnac, Philippe |
spellingShingle |
Filloux, Denis Petel, Adrien Sempere, Guilhem Claverie, Sohini Lefeuvre, Pierre Mahe, Frédéric Roumagnac, Philippe Development of MetaXplor: a viral metagenomics database. P29 |
author_facet |
Filloux, Denis Petel, Adrien Sempere, Guilhem Claverie, Sohini Lefeuvre, Pierre Mahe, Frédéric Roumagnac, Philippe |
author_sort |
Filloux, Denis |
title |
Development of MetaXplor: a viral metagenomics database. P29 |
title_short |
Development of MetaXplor: a viral metagenomics database. P29 |
title_full |
Development of MetaXplor: a viral metagenomics database. P29 |
title_fullStr |
Development of MetaXplor: a viral metagenomics database. P29 |
title_full_unstemmed |
Development of MetaXplor: a viral metagenomics database. P29 |
title_sort |
development of metaxplor: a viral metagenomics database. p29 |
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INRA |
url |
http://agritrop.cirad.fr/587561/ http://agritrop.cirad.fr/587561/1/ID587561.pdf |
work_keys_str_mv |
AT fillouxdenis developmentofmetaxploraviralmetagenomicsdatabasep29 AT peteladrien developmentofmetaxploraviralmetagenomicsdatabasep29 AT sempereguilhem developmentofmetaxploraviralmetagenomicsdatabasep29 AT claveriesohini developmentofmetaxploraviralmetagenomicsdatabasep29 AT lefeuvrepierre developmentofmetaxploraviralmetagenomicsdatabasep29 AT mahefrederic developmentofmetaxploraviralmetagenomicsdatabasep29 AT roumagnacphilippe developmentofmetaxploraviralmetagenomicsdatabasep29 |
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