@article{8646781,
  abstract     = {{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.

AVAILABILITY AND IMPLEMENTATION:
More information on BrAPI, including links to the specification, test suites, BrAPPs, and sample implementations is available at https://brapi.org/. The BrAPI specification and the developer tools are provided as free and open source.}},
  author       = {{Selby, Peter and Abbeloos, Rafael and Backlund, Jan Erik and Basterrechea Salido, Martin and Bauchet, Guillaume and Benites-Alfaro, Omar E and Birkett, Clay and Calaminos, Viana C and Carceller, Pierre and Cornut, Guillaume and Vasques Costa, Bruno and Edwards, Jeremy D and Finkers, Richard and Yanxin Gao, Star and Ghaffar, Mehmood and Glaser, Philip and Guignon, Valentin and Hok, Puthick and Kilian, Andrzej and König, Patrick and Lagare, Jack Elendil B and Lange, Matthias and Laporte, Marie-Angélique and Larmande, Pierre and LeBauer, David S and Lyon, David A and Marshall, David S and Matthews, Dave and Milne, Iain and Mistry, Naymesh and Morales, Nicolas and Mueller, Lukas A and Neveu, Pascal and Papoutsoglou, Evangelia and Pearce, Brian and Perez-Masias, Ivan and Pommier, Cyril and Ramírez-González, Ricardo H and Rathore, Abhishek and Raquel, Angel Manica and Raubach, Sebastian and Rife, Trevor and Robbins, Kelly and Rouard, Mathieu and Sarma, Chaitanya and Scholz, Uwe and Sempéré, Guilhem and Shaw, Paul D and Simon, Reinhard and Soldevilla, Nahuel and Stephen, Gordon and Sun, Qi and Tovar, Clarysabel and Uszynski, Grzegorz and Verouden, Maikel and The BrAPI consortium, [missing]}},
  editor       = {{Wren, Jonathan}},
  issn         = {{1367-4803}},
  journal      = {{BIOINFORMATICS}},
  keywords     = {{Statistics and Probability,Computational Theory and Mathematics,Biochemistry,Molecular Biology,Computational Mathematics,Computer Science Applications}},
  language     = {{eng}},
  number       = {{20}},
  pages        = {{4147--4155}},
  title        = {{BrAPI : an application programming interface for plant breeding applications}},
  url          = {{http://doi.org/10.1093/bioinformatics/btz190}},
  volume       = {{35}},
  year         = {{2019}},
}

Altmetric

View in Altmetric

Web of Science

Times cited: