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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2017
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.
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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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