CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • Bioversity International
    • Bioversity Journal Articles
    • View Item
       
    • CGSpace Home
    • Bioversity International
    • Bioversity Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data

    Thumbnail
    View/Open
    Ruas_2017_MGIS.pdf (1.884Mb)
    
    Authors
    Ruas, M.
    Guignon, V.
    Sempere, G.
    Sardos, J.
    Chase, R.
    Hueber, Y.
    Duvergey, H.
    Andrieu, A.
    Hazekamp, T.
    Daniells, J.
    Gueco, L.
    Ibobondji, L.
    Irish, B.
    Jenny, C.
    Muhangi, S.
    Paofa, J.
    Thiemele, D.
    Tumuhimbise, R.
    Sandoval, J.
    Sutanto, A.
    Vangu Paka, G.
    Yi, G.
    Kempenaers, E.
    van den Houwe, I.
    Roux, N.
    Rouard, M.
    Date
    2017
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Open Access
    Metadata
    Show full item record
    Share
    Citation
    Ruas, M.; Guignon, V.; Sempere, G.; Sardos, J.; Chase, R.; Hueber, Y.; Duvergey, H.; Andrieu, A.; Hazekamp, T.; Daniells, J.; Gueco, L.; Ibobondji, L.; Irish, B.; Jenny, C.; Muhangi, S.; Paofa, J.; Thiemele, D.; Tumuhimbise, R.; Sandoval, J.; Sutanto, A.; Vangu Paka, G.; Yi, G.; Kempenaers, E.; van den Houwe, I.; Roux, N.; Rouard, M. (2017) MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data. Database (Oxford) 2017(1): bax046. ISSN:1758-0463
    Permanent link to this item: http://hdl.handle.net/10568/82646
    Internet URL: https://www.crop-diversity.org/mgis/
    DOI: http://dx.doi.org/10.1093/database/bax046
    Abstract/Description
    Unraveling the genetic diversity held in genebanks on a large scale is underway, due to advances in Next-generation sequence (NGS) based technologies that produce high-density genetic markers for a large number of samples at low cost. Genebank users should be in a position to identify and select germplasm from the global genepool based on a combination of passport, genotypic and phenotypic data. To facilitate this, a new generation of information systems is being designed to efficiently handle data and link it with other external resources such as genome or breeding databases. The Musa Germplasm Information System (MGIS), the database for global ex situ-held banana genetic resources, has been developed to address those needs in a user-friendly way. In developing MGIS, we selected a generic database schema (Chado), the robust content management system Drupal for the user interface, and Tripal, a set of Drupal modules which links the Chado schema to Drupal. MGIS allows germplasm collection examination, accession browsing, advanced search functions, and germplasm orders. Additionally, we developed unique graphical interfaces to compare accessions and to explore them based on their taxonomic information. Accession-based data has been enriched with publications, genotyping studies and associated genotyping datasets reporting on germplasm use. Finally, an interoperability layer has been implemented to facilitate the link with complementary databases like the Banana Genome Hub and the MusaBase breeding database. Database URL:https://www.crop-diversity.org/mgis/
    AGROVOC Keywords
    MUSA; DATABASES; INFORMATION SYSTEMS; INTEROPERABILITY; GERMPLASM COLLECTIONS
    Subjects
    DATABASES; INFORMATION SYSTEMS; INTEROPERABILITY; GERMPLASM COLLECTIONS;
    Collections
    • Effective Genetic Resources Conservation and Use [218]
    • Bioversity Journal Articles [601]

    AboutSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy CPWF subjectBy CCAFS subjectBy CIFOR subjectBy IWMI subjectBy RegionBy CountryBy SubregionBy CRP subjectBy River basinBy Output typeBy CTA subjectBy WLE subjectBy Bioversity subjectBy CIAT subjectBy CIP subjectBy animal breedThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy CPWF subjectBy CCAFS subjectBy CIFOR subjectBy IWMI subjectBy RegionBy CountryBy SubregionBy CRP subjectBy River basinBy Output typeBy CTA subjectBy WLE subjectBy Bioversity subjectBy CIAT subjectBy CIP subjectBy animal breed

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutSend Feedback