BrAPI-an application programming interface for plant breeding applications
Author
Selby, PeterAbbeloos, Rafael
Backlund, Jan Erik
Salido, Martin Basterrechea
Bauchet, Guillaume
Benites-Alfaro, Omar E.
Birkett, Clay
Calaminos, Viana C.
Carceller, Pierre
Cornut, Guillaume
Costa, Bruno Vasques
Edwards, Jeremy D.
Finkers, Richard
Gao, Star Yanxin
Ghaffar, Mehmood
Glaser, Philip
Guignon, Valentin
Hok, Puthick
Kilian, Andrzej
Koenig, Patrick
Lagare, Jack Elendil B.
Lange, Matthias
Laporte, Marie-Angelique
Larmande, Pierre
LeBauer, David S.
Lyon, David A.
Marshall, David S.
Matthews, Dave
Milne, Iain
Mistry, Naymesh
Morales, Nicolas
Mueller, Lukas A.
Neveu, Pascal
Papoutsoglou, Evangelia
Pearce, Brian
Perez-Masias, Ivan
Pommier, Cyril
Ramirez-Gonzalez, Ricardo H.
Rathore, Abhishek
Raquel, Angel Manica
Raubach, Sebastian
Rife, Trevor
Robbins, Kelly
Rouard, Mathieu
Sarma, Chaitanya
Scholz, Uwe
Sempere, Guilhem
Shaw, Paul D.
Simon, Reinhard
Soldevilla, Nahuel
Stephen, Gordon
Sun, Qi
Tovar, Clarysabel
Uszynski, Grzegorz
Verouden, Maikel
Affiliation
Univ Arizona, Coll Agr & Life SciIssue Date
2019-10-15
Metadata
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OXFORD UNIV PRESSCitation
Selby, Peter, Abbeloos, Rafael, Backlund, Jan Erik, Basterrechea Salido, Martin, Bauchet, Guillaume, Benites-Alfaro, Omar E., . . . König, Patrick. (2019). BrAPI-an application programming interface for plant breeding applications. Bioinformatics, 35(20), 4147-4155.Journal
BIOINFORMATICSRights
© The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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.Note
Open access articleISSN
1367-4803PubMed ID
30903186Version
Final published versionSponsors
Bill and Melinda Gates FoundationGates Foundation; Bioversity International; German BMBFFederal Ministry of Education & Research (BMBF) [FKZ 031A536A, 031B0190A]; Boyce Thompson Institute for Plant Research; CGIAR Research Program on Roots, Tubers and Bananas, Cornell University; Excellence in Breeding Platformae974a485f413a2113503eed53cd6c53
10.1093/bioinformatics/btz190
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Except where otherwise noted, this item's license is described as © The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
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