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)
Main Authors: | , , , , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-cirad-fr-583457 |
---|---|
record_format |
koha |
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 |
work_keys_str_mv |
AT ruizmanuel gigwagenotypeinvestigatorforgenomewideanalysesp0442 AT sempereguilhem gigwagenotypeinvestigatorforgenomewideanalysesp0442 AT peteladrien gigwagenotypeinvestigatorforgenomewideanalysesp0442 AT dereeperalexis gigwagenotypeinvestigatorforgenomewideanalysesp0442 AT gautiersarah gigwagenotypeinvestigatorforgenomewideanalysesp0442 AT larmandepierre gigwagenotypeinvestigatorforgenomewideanalysesp0442 |
_version_ |
1758025266330861568 |