Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442]

Exploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. However, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This is particularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendly data exploration solutions. Here we present Gigwa, a web-based tool that provides an easy and intuitive way to explore large amounts of genotyping data by filtering it not only on the basis of variant features, including functional annotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalability properties. Gigwa can handle multiple databases and may be deployed in either single- or multi-user mode. In addition, it provides a wide range of popular export formats. The Gigwa application is suitable for managing large amounts of genomic variation data. Its user-friendly web interface makes such processing widely accessible. It can either be simply deployed on a workstation or be used to provide a shared data portal for a given community of researchers. (Texte integral)

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Bibliographic Details
Main Authors: Ruiz, Manuel, Sempere, Guilhem, Petel, Adrien, Dereeper, Alexis, Gautier, Sarah, Larmande, Pierre
Format: conference_item biblioteca
Language:eng
Published: PAG
Subjects:F30 - Génétique et amélioration des plantes, L10 - Génétique et amélioration des animaux, C30 - Documentation et information,
Online Access:http://agritrop.cirad.fr/583457/
http://agritrop.cirad.fr/583457/1/ID583457.pdf
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spelling dig-cirad-fr-5834572018-11-07T17:18:10Z http://agritrop.cirad.fr/583457/ http://agritrop.cirad.fr/583457/ Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442]. Ruiz Manuel, Sempere Guilhem, Petel Adrien, Dereeper Alexis, Gautier Sarah, Larmande Pierre. 2017. In : Proceedings Plant and Animal Genome XXV Conference. San Diego : PAG, 1 p. Plant and Animal Genome Conference. 25, San Diego, États-Unis, 14 Janvier 2017/18 Janvier 2017.https://pag.confex.com/pag/xxv/meetingapp.cgi/Paper/23807 <https://pag.confex.com/pag/xxv/meetingapp.cgi/Paper/23807> Researchers Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442] Ruiz, Manuel Sempere, Guilhem Petel, Adrien Dereeper, Alexis Gautier, Sarah Larmande, Pierre eng 2017 PAG Proceedings Plant and Animal Genome XXV Conference F30 - Génétique et amélioration des plantes L10 - Génétique et amélioration des animaux C30 - Documentation et information Exploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. However, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This is particularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendly data exploration solutions. Here we present Gigwa, a web-based tool that provides an easy and intuitive way to explore large amounts of genotyping data by filtering it not only on the basis of variant features, including functional annotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalability properties. Gigwa can handle multiple databases and may be deployed in either single- or multi-user mode. In addition, it provides a wide range of popular export formats. The Gigwa application is suitable for managing large amounts of genomic variation data. Its user-friendly web interface makes such processing widely accessible. It can either be simply deployed on a workstation or be used to provide a shared data portal for a given community of researchers. (Texte integral) conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/583457/1/ID583457.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://pag.confex.com/pag/xxv/meetingapp.cgi/Paper/23807 info:eu-repo/semantics/altIdentifier/purl/https://pag.confex.com/pag/xxv/meetingapp.cgi/Paper/23807
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 F30 - Génétique et amélioration des plantes
L10 - Génétique et amélioration des animaux
C30 - Documentation et information
F30 - Génétique et amélioration des plantes
L10 - Génétique et amélioration des animaux
C30 - Documentation et information
spellingShingle F30 - Génétique et amélioration des plantes
L10 - Génétique et amélioration des animaux
C30 - Documentation et information
F30 - Génétique et amélioration des plantes
L10 - Génétique et amélioration des animaux
C30 - Documentation et information
Ruiz, Manuel
Sempere, Guilhem
Petel, Adrien
Dereeper, Alexis
Gautier, Sarah
Larmande, Pierre
Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442]
description Exploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. However, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This is particularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendly data exploration solutions. Here we present Gigwa, a web-based tool that provides an easy and intuitive way to explore large amounts of genotyping data by filtering it not only on the basis of variant features, including functional annotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalability properties. Gigwa can handle multiple databases and may be deployed in either single- or multi-user mode. In addition, it provides a wide range of popular export formats. The Gigwa application is suitable for managing large amounts of genomic variation data. Its user-friendly web interface makes such processing widely accessible. It can either be simply deployed on a workstation or be used to provide a shared data portal for a given community of researchers. (Texte integral)
format conference_item
topic_facet F30 - Génétique et amélioration des plantes
L10 - Génétique et amélioration des animaux
C30 - Documentation et information
author Ruiz, Manuel
Sempere, Guilhem
Petel, Adrien
Dereeper, Alexis
Gautier, Sarah
Larmande, Pierre
author_facet Ruiz, Manuel
Sempere, Guilhem
Petel, Adrien
Dereeper, Alexis
Gautier, Sarah
Larmande, Pierre
author_sort Ruiz, Manuel
title Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442]
title_short Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442]
title_full Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442]
title_fullStr Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442]
title_full_unstemmed Gigwa - Genotype Investigator for Genome-Wide Analyses. [P0442]
title_sort gigwa - genotype investigator for genome-wide analyses. [p0442]
publisher PAG
url http://agritrop.cirad.fr/583457/
http://agritrop.cirad.fr/583457/1/ID583457.pdf
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AT dereeperalexis gigwagenotypeinvestigatorforgenomewideanalysesp0442
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