The biological big data analysis process is often adjusted based on the purpose of analysis and materials that are analyzed. The data may need to be filtered and cleaned up depending on its quality before analysis. How the final result is presented whether it may be a visualized image, video, or database of forms, may be designed differently according to requirements. After discussing with the clients, high performance bioinformatics analysis processes can be customized based on the purpose of analysis, utilizing suitable information technologies and algorithms, and then linking research results to analysis programs.
Features / strengths
1. Large scale genome analysis and computing is provided for whole genome comparison and correlation analysis, genotype identification, and biopsy identification.
2. Provides stable analysis process services capable of analyzing thousands of entries each day to match the pace of clinical examination.
Provides high intensity bioinformatics process analysis services for hospitals and industries, and can link together processes of hospitals, medical laboratories, analysis companies, research institutes, and government departments, providing development opportunities for the industrial value chain.
Specification in detail
NCHC Life Science Cloud
Web interactive computing, high-performance analytical computing, large-memory computing, virtual and container environments