BrAPI

<p>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.</p> <p>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.</p> <ul> <li><strong>Genotype Visualization</strong>: Pull genotypic data from any BrAPI data source and visualize it using tools like Flapjack.</li> <li><strong>Field Data Collection</strong>: Using mobile devices to collect field trial data and directly import it into the BrAPI data source.</li> <li><strong>R Module</strong>: Load data from any BrAPI data source right into R using the BrAPI R module.</li> <li><strong>Data Transfer</strong>: Move large data sets between BrAPI compliant systems without having to worry about the internal wirings.</li> <li><strong>Geographic Visualization</strong>: Visualize geographic information about germplasm and trials by plotting the data on a map.</li> <li><strong>Search</strong>: Search everything! Full-text search, different search parameter combinations - knock yourself out.</li> </ul> <p>Partners include Bioversity International, Boyce Thompson Institute, Cornell University, Nextgen Cassava, GOBii, International Rice Research Institute, The James Hutton Institute, and Cimmyt, among others. </p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: BrAPI.</p> <p>File Name: Web Page, url: <a href="https://www.brapi.org" target="_blank">https://www.brapi.org</a> </p></li></ul>

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Bibliographic Details
Main Authors: Jan Erik Backlund (17478720), Lukas A. Mueller (17477832), Peter Selby (539503)
Format: Dataset biblioteca
Published: 2018
Subjects:Genomics and transcriptomics, Genetics, Genetics not elsewhere classified, plant breeding, databases, phenotype, genotype, data collection, field experimentation, imports, psychological stress, spatial data, germplasm, application programming interface,
Online Access:https://figshare.com/articles/dataset/BrAPI/24661590
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Description
Summary:<p>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.</p> <p>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.</p> <ul> <li><strong>Genotype Visualization</strong>: Pull genotypic data from any BrAPI data source and visualize it using tools like Flapjack.</li> <li><strong>Field Data Collection</strong>: Using mobile devices to collect field trial data and directly import it into the BrAPI data source.</li> <li><strong>R Module</strong>: Load data from any BrAPI data source right into R using the BrAPI R module.</li> <li><strong>Data Transfer</strong>: Move large data sets between BrAPI compliant systems without having to worry about the internal wirings.</li> <li><strong>Geographic Visualization</strong>: Visualize geographic information about germplasm and trials by plotting the data on a map.</li> <li><strong>Search</strong>: Search everything! Full-text search, different search parameter combinations - knock yourself out.</li> </ul> <p>Partners include Bioversity International, Boyce Thompson Institute, Cornell University, Nextgen Cassava, GOBii, International Rice Research Institute, The James Hutton Institute, and Cimmyt, among others. </p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: BrAPI.</p> <p>File Name: Web Page, url: <a href="https://www.brapi.org" target="_blank">https://www.brapi.org</a> </p></li></ul>