Genetic Mapping and Diversity in Plants and Animals

The paper analyzes chloroplast genome diversity in 1,800 wild and cultivated rice accessions, revealing distinct domestication histories for aus and aromatic rice groups.

This study identifies genes underlying flowering time adaptation in maize landraces by integrating genomic mapping and association analysis across multiple environments.

DMAP visualizes and optimizes the correlation between physical and genetic maps, reducing data redundancy and highlighting anomalies in contig orientation.

This study identifies independent temperate adaptations in maize flowering time across different populations using GWAS and machine learning.