MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data
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 ger...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Oxford University Press
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/82646 |
| _version_ | 1855533334683189248 |
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| author | Ruas, M. Guignon, Valentin Sempéré, G. Sardos, J. Chase, R. Hueber, Y. Duvergey, H. Andrieu, A. Hazekamp, T. Daniells, J. Gueco, L. Ibobondji, Lucien Irish, Brian M. Jenny, C. Muhangi, S. Paofa, J. Thiemele, D. Tumuhimbise, Robooni Sandoval, J. Sutanto, A. Vangu Paka, G. Yi, G. Kempenaers, Els Houwe, Ines van den Roux, N. Rouard, M. |
| author_browse | Andrieu, A. Chase, R. Daniells, J. Duvergey, H. Gueco, L. Guignon, Valentin Hazekamp, T. Houwe, Ines van den Hueber, Y. Ibobondji, Lucien Irish, Brian M. Jenny, C. Kempenaers, Els Muhangi, S. Paofa, J. Rouard, M. Roux, N. Ruas, M. Sandoval, J. Sardos, J. Sempéré, G. Sutanto, A. Thiemele, D. Tumuhimbise, Robooni Vangu Paka, G. Yi, G. |
| author_facet | Ruas, M. Guignon, Valentin Sempéré, G. Sardos, J. Chase, R. Hueber, Y. Duvergey, H. Andrieu, A. Hazekamp, T. Daniells, J. Gueco, L. Ibobondji, Lucien Irish, Brian M. Jenny, C. Muhangi, S. Paofa, J. Thiemele, D. Tumuhimbise, Robooni Sandoval, J. Sutanto, A. Vangu Paka, G. Yi, G. Kempenaers, Els Houwe, Ines van den Roux, N. Rouard, M. |
| author_sort | Ruas, M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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/ |
| format | Journal Article |
| id | CGSpace82646 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Oxford University Press |
| publisherStr | Oxford University Press |
| record_format | dspace |
| spelling | CGSpace826462025-11-12T05:45:23Z MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data Ruas, M. Guignon, Valentin Sempéré, G. Sardos, J. Chase, R. Hueber, Y. Duvergey, H. Andrieu, A. Hazekamp, T. Daniells, J. Gueco, L. Ibobondji, Lucien Irish, Brian M. Jenny, C. Muhangi, S. Paofa, J. Thiemele, D. Tumuhimbise, Robooni Sandoval, J. Sutanto, A. Vangu Paka, G. Yi, G. Kempenaers, Els Houwe, Ines van den Roux, N. Rouard, M. musa databases information systems interoperability germplasm collections 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/ 2017-01-01 2017-07-05T10:28:48Z 2017-07-05T10:28:48Z Journal Article https://hdl.handle.net/10568/82646 en Open Access application/pdf Oxford University Press 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 |
| spellingShingle | musa databases information systems interoperability germplasm collections Ruas, M. Guignon, Valentin Sempéré, G. Sardos, J. Chase, R. Hueber, Y. Duvergey, H. Andrieu, A. Hazekamp, T. Daniells, J. Gueco, L. Ibobondji, Lucien Irish, Brian M. Jenny, C. Muhangi, S. Paofa, J. Thiemele, D. Tumuhimbise, Robooni Sandoval, J. Sutanto, A. Vangu Paka, G. Yi, G. Kempenaers, Els Houwe, Ines van den Roux, N. Rouard, M. MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data |
| title | MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data |
| title_full | MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data |
| title_fullStr | MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data |
| title_full_unstemmed | MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data |
| title_short | MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data |
| title_sort | mgis managing banana musa spp genetic resources information and high throughput genotyping data |
| topic | musa databases information systems interoperability germplasm collections |
| url | https://hdl.handle.net/10568/82646 |
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