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BrAPI - an application programming interface for plant breeding applications

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Title BrAPI - an application programming interface for plant breeding applications
 
Creator Selby, P.
Abbeloos, R.
Backlund, J.E.
Guignon, Valentin
Laporte, Marie-Angélique
Rouard, M.
 
Subject plant breeding
genomics
data
data management
databases
interoperability
 
Description Modern genomic breeding methods rely heavily on very large amounts of phenotyping and genotyping data, presenting new challenges in effective data management and integration. Recently, the size and complexity of datasets have increased significantly, with the result that data is often stored on multiple systems. As analyses of interest increasingly require aggregation of datasets from diverse sources, data exchange between disparate systems becomes a challenge.
RESULTS:

To facilitate interoperability among breeding applications, we present the public plant Breeding Application Programming Interface (BrAPI). BrAPI is a standardized web service Application Programming Interface (API) specification. The development of BrAPI is a collaborative, community-based initiative involving a growing global community of over a hundred participants representing several dozen institutions and companies. Development of such a standard is recognized as critical to a number of important large breeding system initiatives as a foundational technology. Â The focus of the first version of the API is on providing services for connecting systems and retrieving basic breeding data including germplasm, study, observation, and marker data. A number of BrAPI-enabled applications, termed BrAPPs, have been written, that take advantage of the emerging support of BrAPI by many databases
 
Date 2019-10-15
2019-09-30T13:13:25Z
2019-09-30T13:13:25Z
 
Type Journal Article
 
Identifier Selby, P.; Abbeloos, R.; Backlund, J.E. (et al.) BrAPI - an application programming interface for plant breeding applications. Bioinformatics, btz190. ISSN: 1367-4803
1367-4803
https://hdl.handle.net/10568/103792
https://doi.org/10.1093/bioinformatics/btz190
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format application/pdf
 
Publisher Oxford University Press
 
Source Bioinformatics