At Academia Sinica, we host diverse research platforms designed to advance agricultural genomics research. Leveraging our state-of-the-art infrastructure, we encourage collaborative initiatives aimed at broadening our understanding in critical areas, including genome evolution, plant-microbial and plant-environment interactions, tissue regeneration and engineering and crop breeding. Furthermore, we explore the integration of computer vision and machine learning to foster versatile and sustainable agricultural production.
High-performance computer cluster.
Dayhoff bioinformatics cluster - 650 CPU cores, 5.5 TB RAM.
Critical knowledge and instruments for high throughput sequencing.
Automatic plant phenotyping system and computer vision assisted analysis.
Our collection of bioinformatics and genomics resources.