Objectives

The center aims to overcome the challenges in the development and analysis of omics technologies by focusing on multi-omics research, encompassing Genomics, Transcriptomics, Metabolomics, Phenomics, and Metagenomics. It seeks to foster interdisciplinary collaboration and integration among Agronomy, Biology, Genomics, Bioinformatics, and Computer Science. Additionally, the center is dedicated to establishing a cloud computing platform for Agro-biomics data and addressing critical omics issues related to agriculture, environment, food, and health.

Research Direction

Omics Technology Research Center explores the frontier of international agricultural genomics, and develops the first-class system of genomics technology, promoting the development of agricultural genomics technology both in China and abroad. The key research directions are:

1. Development of Multi-Omics Algorithms: Considering the large volume, diverse types, high heterogeneity, and strong data correlation of agricultural omics big data, develop reliable and efficient algorithm tools for analyzing and processing various types of biological data, including genomics, transcriptomics, proteomics, and metabolomics. Improve data completeness and accuracy to provide more reliable data support for agricultural scientific research.

2. Development of Cutting-Edge Sequencing Technologies: Addressing the high cost of acquiring agricultural omics data and the difficulty in sample processing, develop efficient and low-cost multi-omics sequencing technologies to support the implementation of digital breeding. Accurately assess and predict crop traits and performance through large-scale acquisition of multi-omics data, providing more precise technical support for agricultural breeding.

3. Phenomics Data Analysis: Phenomics data analysis is an indispensable step in understanding the molecular mechanisms underlying key crop traits. Develop automated phenotypic identification and analysis technologies to identify crop phenotypic features, and perform correlative analyses with genomics, transcriptomics, metabolomics, and other multi-omics data. Establish relationships between crop phenotypes and genotypes, providing more information and guidance for breeding work.

4. Promote Extensive Applications and Collaboration in Omics Technologies: To facilitate interdisciplinary exchange and cooperation, promote the transformation of scientific and technological achievements, and advance industrial development, establish collaborations with other research institutions, enterprises, and agricultural production groups. Apply omics technology in a broader range of fields to achieve agricultural technological innovation and accelerate the modernization process of agriculture.