Objectives
The center focuses on key directions and issues in the development of Omics technology, Developing and Improving of Multi-Omics Sequencing and Analysis Technology System, which including Genomics, Transcriptome, Metabolomics, Metegenome, and Phenomics etc. Establishing a cloud computing big-data platform based on Agrobiomics data, and Solving major Omics problems that are related to agriculture, environment, food and health.
Introduction
Omics Technology Research Center explores the frontier of international agricultural genomics, and develops the cutting-edge system of genomics technology, promoting the development of agricultural genomics technology both in China and abroad.
Research Areas
Development of Multi-Omics Algorithms
Agricultural omics big data are characterized with large volume, diverse types, high heterogeneity, and strong data correlation. The Center aims to develop reliable and efficient algorithm tools for analyzing and processing various types of biological data, including genomics, transcriptomics, proteomics, and metabolomics, as well as to improve data completeness and accuracy to provide more reliable data support for agricultural scientific research.
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.
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.
PI
The Ministry of Agriculture and Rural Affairs, the Chinese Academy of Agricultural
Sciences and the Shenzhen Municipal Government jointly support the construction.
Research Team
Agricultural Genomics Technology Innovation & Application Innovation Team:
