Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Introducing the Brassica Information Portal : Towards integrating genotypic and phenotypic Brassica crop data [version 2; peer review: 3 approved]

Eckes, Annemarie H. LU orcid ; Gubała, Tomasz ; Nowakowski, Piotr ; Szymczyszyn, Tomasz ; Wells, Rachel ; Irwin, Judith A. ; Horro, Carlos ; Hancock, John M. ; King, Graham and Dyer, Sarah C. , et al. (2017) In F1000Research 6(465).
Abstract
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,... (More)
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.
(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; and (Less)
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Brassice breeding, plant database, database, genotype-phenotype relationships
in
F1000Research
volume
6
issue
465
publisher
F1000 Research Ltd.
external identifiers
  • scopus:85019597511
ISSN
2046-1402
DOI
10.12688/f1000research.11301.2
language
English
LU publication?
no
id
31331364-4448-47f3-a6bf-2ec43d495c95
date added to LUP
2021-05-11 16:21:55
date last changed
2022-12-14 16:06:33
@article{31331364-4448-47f3-a6bf-2ec43d495c95,
  abstract     = {{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.<br/>}},
  author       = {{Eckes, Annemarie H. and Gubała, Tomasz and Nowakowski, Piotr and Szymczyszyn, Tomasz and Wells, Rachel and Irwin, Judith A. and Horro, Carlos and Hancock, John M. and King, Graham and Dyer, Sarah C. and Jurkowski, Wiktor}},
  issn         = {{2046-1402}},
  keywords     = {{Brassice breeding; plant database; database; genotype-phenotype relationships}},
  language     = {{eng}},
  month        = {{11}},
  number       = {{465}},
  publisher    = {{F1000 Research Ltd.}},
  series       = {{F1000Research}},
  title        = {{Introducing the Brassica Information Portal : Towards integrating genotypic and phenotypic Brassica crop data [version 2; peer review: 3 approved]}},
  url          = {{http://dx.doi.org/10.12688/f1000research.11301.2}},
  doi          = {{10.12688/f1000research.11301.2}},
  volume       = {{6}},
  year         = {{2017}},
}