BIP

BIP manages phenotypic trait data for Brassica species to support research and breeding.


Key Features:

  • Phenotypic trait data: Stores comprehensive trait measurements and associated metadata for Brassica species.
  • Species coverage: Includes Brassica species cultivated for human consumption (vegetables), livestock fodder, and biofuel production.
  • Data model (CropStoreDB): Built on the CropStoreDB schema for crop-related data management.
  • Experimental metadata: Captures information on experimental plant materials and trial designs used in studies.
  • Cross-crop adaptability: Implements trait data management strategies that can be adapted to various crop datasets beyond Brassica.

Scientific Applications:

  • Brassica research and breeding: Serves as a central repository of phenotypic data to support research and breeding experiments.
  • Comparative and cross-crop analyses: Enables trait-based comparisons and analyses across crop datasets through an adaptable schema.
  • Crop improvement for specific uses: Supports development and evaluation of Brassica crops for vegetable, fodder, and biofuel production.

Methodology:

Built upon the CropStoreDB schema for data modeling and management of phenotypic traits and associated experimental metadata.

Topics

Details

License:
GPL-3.0
Maturity:
Emerging
Cost:
Free of charge (with restrictions)
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Ruby
Added:
2/2/2017
Last Updated:
6/16/2020

Operations

Publications

Eckes AH, Gubała T, Nowakowski P, Szymczyszyn T, Wells R, Irwin JA, Horro C, Hancock JM, King G, Dyer SC, Jurkowski W. Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data. F1000Research. 2017;6:465. doi:10.12688/f1000research.11301.1. PMID:28529710. PMCID:PMC5428495.

Funding: - Biotechnology and Biological Sciences Research Council: BB/J004669/1, BB/L002124/1 - Horizon 2020: 676559

Documentation

Links