BrAPI-an application programming interface for plant breeding applications

Autor: Guilhem Sempere, Patrick König, Bruno Costa, Jan Erik Backlund, Jack Elendil B. Lagare, Viana C. Calaminos, Jeremy D. Edwards, Gordon Stephen, Omar Eduardo Benites-Alfaro, Pierre Carceller, Martin Basterrechea Salido, David LeBauer, Maikel P. H. Verouden, Guillaume Cornut, Nicolas Morales, Philip Glaser, David Marshall, Evangelia Papoutsoglou, Cyril Pommier, Guillaume Bauchet, Valentin Guignon, Kelly R. Robbins, Iain Milne, David A. Lyon, Pascal Neveu, Brian Pearce, Chaitanya Sarma, Qi Sun, Nahuel Soldevilla, Sebastian Raubach, Peter Selby, Clarysabel Tovar, Grzegorz Uszynski, Rafael Abbeloos, Reinhard Simon, Paul Shaw, Marie-Angélique Laporte, Mathieu Rouard, Star Yanxin Gao, Naymesh Mistry, Puthick Hok, Uwe Scholz, Trevor W. Rife, Ricardo H. Ramirez-Gonzalez, Dave Matthews, Mehmood Ghaffar, Pierre Larmande, Matthias Lange, Andrzej Kilian, Clayton Birkett, Ivan Perez-Masias, Angel Manica Raquel, Abhishek Rathore, Lukas A. Mueller, Richard Finkers

Publikováno v: Bioinformatics
BIOINFORMATICS
Bioinformatics (Oxford, England) 35 (2019) 20
Bioinformatics, 2019, 35 (20), pp.4147-4155. ⟨10.1093/bioinformatics/btz190⟩
Bioinformatics 20 (35), 4147-4155. (2019)
Bioinformatics (Oxford, England), 35(20), 4147-4155
Bioinformatics, Oxford University Press (OUP), 2019, 35 (20), pp.4147-4155. ⟨10.1093/bioinformatics/btz190⟩

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 sig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feb6ca890a59457f928bbc09063795b9
https://pubmed.ncbi.nlm.nih.gov/30903186