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BrAPI

dataset
posted on 2023-11-30, 08:10 authored by Jan Erik Backlund, Lukas A. Mueller, Peter Selby

The Breeding API (BrAPI) Project is an effort to create a RESTful specification to enable interoperability among plant breeding databases. The Breeding API specifies a standard interface for plant phenotype/genotype databases to serve their data to crop breeding applications. It is a shared, open API, to be used by all data providers and data consumers who wish to participate.

BrAPI is a very powerful API that caters for a variety of possible use-cases. Here is a list of the ones we have been focusing on during development.

  • Genotype Visualization: Pull genotypic data from any BrAPI data source and visualize it using tools like Flapjack.
  • Field Data Collection: Using mobile devices to collect field trial data and directly import it into the BrAPI data source.
  • R Module: Load data from any BrAPI data source right into R using the BrAPI R module.
  • Data Transfer: Move large data sets between BrAPI compliant systems without having to worry about the internal wirings.
  • Geographic Visualization: Visualize geographic information about germplasm and trials by plotting the data on a map.
  • Search: Search everything! Full-text search, different search parameter combinations - knock yourself out.

Partners include Bioversity International, Boyce Thompson Institute, Cornell University, Nextgen Cassava, GOBii, International Rice Research Institute, The James Hutton Institute, and Cimmyt, among others.


Resources in this dataset:

Funding

Cornell University,

History

Data contact name

Mueller, Lukas A.

Data contact email

lam87@cornell.edu

Publisher

BrAPI

Theme

  • Not specified

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

plant breeding; databases; phenotype; genotype; data collection; field experimentation; imports; psychological stress; spatial data; germplasm; application programming interface

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Backlund, Jan Erik; Mueller, Lukas A.; Selby, Peter (2018). BrAPI. BrAPI.