BrAPI—an application programming interface for plant breeding applications
Motivation: 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 are 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 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. 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.
Similar Items
-
Genomicus in 2022: Comparative tools for thousands of genomes and reconstructed ancestors
by: Nguyen, Nga Thi Thuy, et al. -
Genomic preselection with genotyping-bysequencing increases performance of commercial oil palm hybrid crosses
by: Cros, David, et al. -
A high-resolution genome-wide association study of the grain ionome and agronomic traits in rice Oryza sativa subsp. indica
by: Cu, Suong T., et al. -
Variations structurales chez le bananier : Caractérisation et impact sur les ségrégations chromosomiques de deux translocations réciproques originaires du groupe M. acuminata burmannica
by: Dupouy, Marion -
The coffee genome hub: a resource for coffee genomes
by: Dereeper, Alexis, et al.