Crop-GPA: an integrated platform of crop gene-phenotype associations

• Published in: NPJ systems biology and applications Vol. 10; no. 1; pp. 15 - 10
• Main Authors: Gao, Yujia, Zhou, Qian, Luo, Jiaxin, Xia, Chuan, Zhang, Youhua, Yue, Zhenyu
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 12.02.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114; 631/449; Artificial intelligence; Automation; Bioinformatics; Biology; Biomedical and Life Sciences; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Crop diseases; Crops; Deep learning; Genes; Genetically altered foods; Genomes; Genomics; Genotype & phenotype; Life Sciences; Machine learning; Phenotypes; Plant breeding; Systems Biology

With the increasing availability of large-scale biology data in crop plants, there is an urgent demand for a versatile platform that fully mines and utilizes the data for modern molecular breeding. We present Crop-GPA ( https://crop-gpa.aielab.net ), a comprehensive and functional open-source platfo...