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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Bibliographic Details
Main Authors: Filloux, Denis, Petel, Adrien, Sempere, Guilhem, Claverie, Sohini, Lefeuvre, Pierre, Mahe, Frédéric, Roumagnac, Philippe
Format: conference_item biblioteca
Language:eng
Published: CIRAD
Subjects:U10 - Informatique, mathématiques et statistiques, S50 - Santé humaine, L73 - Maladies des animaux,
Online Access:http://agritrop.cirad.fr/583286/
http://agritrop.cirad.fr/583286/1/ID583286.pdf
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spelling 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
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U10 - Informatique, mathématiques et statistiques
S50 - Santé humaine
L73 - Maladies des animaux
U10 - Informatique, mathématiques et statistiques
S50 - Santé humaine
L73 - Maladies des animaux
spellingShingle 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
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