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Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data
The Brassica Information Portal (BIP) is a centralised repository for brassica phenotypic data. The site hosts trait data associated with brassica research and breeding experiments conducted on brassica crops, that are used as oilseeds, vegetables, livestock forage and fodder and for biofuels. A key...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428495/ https://www.ncbi.nlm.nih.gov/pubmed/28529710 http://dx.doi.org/10.12688/f1000research.11301.2 |
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author | Eckes, Annemarie H. Gubała, Tomasz Nowakowski, Piotr Szymczyszyn, Tomasz Wells, Rachel Irwin, Judith A. Horro, Carlos Hancock, John M. King, Graham Dyer, Sarah C. Jurkowski, Wiktor |
author_facet | Eckes, Annemarie H. Gubała, Tomasz Nowakowski, Piotr Szymczyszyn, Tomasz Wells, Rachel Irwin, Judith A. Horro, Carlos Hancock, John M. King, Graham Dyer, Sarah C. Jurkowski, Wiktor |
author_sort | Eckes, Annemarie H. |
collection | PubMed |
description | The Brassica Information Portal (BIP) is a centralised repository for brassica phenotypic data. The site hosts trait data associated with brassica research and breeding experiments conducted on brassica crops, that are used as oilseeds, vegetables, livestock forage and fodder and for biofuels. A key feature is the explicit management of meta-data describing the provenance and relationships between experimental plant materials, as well as trial design and trait descriptors. BIP is an open access and open source project, built on the schema of CropStoreDB, and as such can provide trait data management strategies for any crop data. A new user interface and programmatic submission/retrieval system helps to simplify data access for researchers, breeders and other end-users. BIP opens up the opportunity to apply integrative, cross-project analyses to data generated by the Brassica Research Community. Here, we present a short description of the current status of the repository. |
format | Online Article Text |
id | pubmed-5428495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-54284952017-05-18 Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data Eckes, Annemarie H. Gubała, Tomasz Nowakowski, Piotr Szymczyszyn, Tomasz Wells, Rachel Irwin, Judith A. Horro, Carlos Hancock, John M. King, Graham Dyer, Sarah C. Jurkowski, Wiktor F1000Res Software Tool Article The Brassica Information Portal (BIP) is a centralised repository for brassica phenotypic data. The site hosts trait data associated with brassica research and breeding experiments conducted on brassica crops, that are used as oilseeds, vegetables, livestock forage and fodder and for biofuels. A key feature is the explicit management of meta-data describing the provenance and relationships between experimental plant materials, as well as trial design and trait descriptors. BIP is an open access and open source project, built on the schema of CropStoreDB, and as such can provide trait data management strategies for any crop data. A new user interface and programmatic submission/retrieval system helps to simplify data access for researchers, breeders and other end-users. BIP opens up the opportunity to apply integrative, cross-project analyses to data generated by the Brassica Research Community. Here, we present a short description of the current status of the repository. F1000 Research Limited 2017-11-15 /pmc/articles/PMC5428495/ /pubmed/28529710 http://dx.doi.org/10.12688/f1000research.11301.2 Text en Copyright: © 2017 Eckes AH et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Eckes, Annemarie H. Gubała, Tomasz Nowakowski, Piotr Szymczyszyn, Tomasz Wells, Rachel Irwin, Judith A. Horro, Carlos Hancock, John M. King, Graham Dyer, Sarah C. Jurkowski, Wiktor Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data |
title | Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data |
title_full | Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data |
title_fullStr | Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data |
title_full_unstemmed | Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data |
title_short | Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data |
title_sort | introducing the brassica information portal: towards integrating genotypic and phenotypic brassica crop data |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428495/ https://www.ncbi.nlm.nih.gov/pubmed/28529710 http://dx.doi.org/10.12688/f1000research.11301.2 |
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