Latest

• G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction
• Machine learning bridges omics sciences and plant breeding
• Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology
• MODAS: exploring maize germplasm with multi-omics data association studies
• LightGBM: accelerated genomically designed crop breeding through ensemble learning
• The genetic mechanism of heterosis utilization in maize improvement
• SR4R
• Resequencing 250 soybean accessions: new insights into genes associated with agronomic traits and genetic networks
• SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice
• Genome optimization for improvement of maize breeding
• Corrigendum: Powdery Mildews Are Characterized by Contracted Carbohydrate Metabolism and Diverse Effectors to Adapt to Obligate Biotrophic Lifestyle
• Powdery Mildews Are Characterized by Contracted Carbohydrate Metabolism and Diverse Effectors to Adapt to Obligate Biotrophic Lifestyle
• Single-Molecule Sequencing Assists Genome Assembly Improvement and Structural Variation Inference