Gene detection and big data application are key to individualized medical development

The process of individualized diagnosis mainly involves the application of molecular diagnosis technology, big data and cloud computing, and the relevant diagnosis results are obtained through the collection and detection of individual patient-related samples and the data of related diseases in the database. In the individualized treatment stage, the "volume-genre drug" can be achieved according to the diagnostic results.

Northeast Securities says big data and cloud computing will play a big role in personalized care. The precondition of individualized treatment is gene sequencing technology, and the data produced after gene sequencing depends on the comparison analysis of big data and cloud computing.

A fully sequenced human genome contains 100GB-1000GB of BI data, which is difficult to interpret and requires a dedicated database for horizontal and vertical analysis of data information. Many foreign companies have built their own large databases and developed relevant software for fast data analysis, such as Myriadgenetics's proprietary database for integrated analysis of big data that can be used to interpret the results of uncertain genetic testing.

Illumina Company developed Basespace cloud computing and storage platform, Seven Bridges Genomics in the Human genome sequencing and analysis of the integrated application of cloud computing and NoSQL data technology, the introduction of EC2, S3 and MongoDB.

In the A-share market, the company has successfully solved the problems in parallel computing and storage of the massive data of gene sequencing by leveraging the technology advantages accumulated in high-performance computing and large-capacity storage of business intelligence systems for the design, construction and maintenance of bio-information centers located in Shenzhen and Hong Kong. At present, the big gene has the ability to run 157 trillion times per second of super computing capacity, data storage capacity of 12.6PB, gene sequencing ability ranked first in the world.

The information obtained after the analysis of big data can provide guidance for individualized drug design, and realize "quantity-genre medicine". At present, the most practical significance of many predictive genetic testing projects is "drug genotype detection", targeting drugs targeted at human genome fragments, and using big data to analyze the reaction, efficacy, sensitivity and side effects of the drug, and to use patient information and detection methods, The optimal treatment method and individualized drug delivery regimen were screened. "Dose-genre medicine" will greatly reduce the improper use of clinical medication, improve curative effect and reduce the cost of medical care, for the future of medicine to identify the direction.

Gene detection and big data application are key to individualized medical development