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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...

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Autores principales: Ruas, Max, Guignon, V., Sempere, G., Sardos, J., Hueber, Y., Duvergey, H., Andrieu, A., Chase, R., Jenny, C., Hazekamp, T., Irish, B., Jelali, K., Adeka, J., Ayala-Silva, T., Chao, C.P., Daniells, J., Dowiya, B., Effa effa, B., Gueco, L., Herradura, L., Ibobondji, L., Kempenaers, E., Kilangi, J., Muhangi, S., Ngo Xuan, P., Paofa, J., Pavis, C., Thiemele, D., Tossou, C., Sandoval, J., Sutanto, A., Vangu Paka, G., Yi, G., Van den houwe, I., Roux, N., Rouard, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502358/
https://www.ncbi.nlm.nih.gov/pubmed/29220435
http://dx.doi.org/10.1093/database/bax046
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author Ruas, Max
Guignon, V.
Sempere, G.
Sardos, J.
Hueber, Y.
Duvergey, H.
Andrieu, A.
Chase, R.
Jenny, C.
Hazekamp, T.
Irish, B.
Jelali, K.
Adeka, J.
Ayala-Silva, T.
Chao, C.P.
Daniells, J.
Dowiya, B.
Effa effa, B.
Gueco, L.
Herradura, L.
Ibobondji, L.
Kempenaers, E.
Kilangi, J.
Muhangi, S.
Ngo Xuan, P.
Paofa, J.
Pavis, C.
Thiemele, D.
Tossou, C.
Sandoval, J.
Sutanto, A.
Vangu Paka, G.
Yi, G.
Van den houwe, I.
Roux, N.
Rouard, M.
author_facet Ruas, Max
Guignon, V.
Sempere, G.
Sardos, J.
Hueber, Y.
Duvergey, H.
Andrieu, A.
Chase, R.
Jenny, C.
Hazekamp, T.
Irish, B.
Jelali, K.
Adeka, J.
Ayala-Silva, T.
Chao, C.P.
Daniells, J.
Dowiya, B.
Effa effa, B.
Gueco, L.
Herradura, L.
Ibobondji, L.
Kempenaers, E.
Kilangi, J.
Muhangi, S.
Ngo Xuan, P.
Paofa, J.
Pavis, C.
Thiemele, D.
Tossou, C.
Sandoval, J.
Sutanto, A.
Vangu Paka, G.
Yi, G.
Van den houwe, I.
Roux, N.
Rouard, M.
author_sort Ruas, Max
collection PubMed
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/
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spelling pubmed-55023582017-07-20 MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data Ruas, Max Guignon, V. Sempere, G. Sardos, J. Hueber, Y. Duvergey, H. Andrieu, A. Chase, R. Jenny, C. Hazekamp, T. Irish, B. Jelali, K. Adeka, J. Ayala-Silva, T. Chao, C.P. Daniells, J. Dowiya, B. Effa effa, B. Gueco, L. Herradura, L. Ibobondji, L. Kempenaers, E. Kilangi, J. Muhangi, S. Ngo Xuan, P. Paofa, J. Pavis, C. Thiemele, D. Tossou, C. Sandoval, J. Sutanto, A. Vangu Paka, G. Yi, G. Van den houwe, I. Roux, N. Rouard, M. Database (Oxford) Database Tool 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/ Oxford University Press 2017-06-11 /pmc/articles/PMC5502358/ /pubmed/29220435 http://dx.doi.org/10.1093/database/bax046 Text en © The Author(s) 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Tool
Ruas, Max
Guignon, V.
Sempere, G.
Sardos, J.
Hueber, Y.
Duvergey, H.
Andrieu, A.
Chase, R.
Jenny, C.
Hazekamp, T.
Irish, B.
Jelali, K.
Adeka, J.
Ayala-Silva, T.
Chao, C.P.
Daniells, J.
Dowiya, B.
Effa effa, B.
Gueco, L.
Herradura, L.
Ibobondji, L.
Kempenaers, E.
Kilangi, J.
Muhangi, S.
Ngo Xuan, P.
Paofa, J.
Pavis, C.
Thiemele, D.
Tossou, C.
Sandoval, J.
Sutanto, A.
Vangu Paka, G.
Yi, G.
Van den houwe, I.
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 Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502358/
https://www.ncbi.nlm.nih.gov/pubmed/29220435
http://dx.doi.org/10.1093/database/bax046
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