In science we share

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.

Phenotyping

Automatic plant phenotyping system and computer vision assisted analysis.

Our collection of bioinformatics and genomics resources.