Release date: 2015-10-22
With the rapid development of the genetic industry, cloud computing is becoming the "darling" of gene companies. More and more gene companies are beginning to take advantage of the high throughput of cloud computing platforms to reduce the cost of massive genetic and health data analysis. The just-concluded cloud computing industry summit in China, the 2015 Yunqi Conference, has become an important stage for gene companies to compete for innovation.
Shenzhen Huada Gene, Beijing Judao Technology, Yimai Gene and many other gene companies have demonstrated the latest products and technologies at this conference, with the rapid development of next-generation gene sequencing, bio-mass spectrometry and medical imaging. The big data wave has brought unprecedented opportunities for biomedicine, which will fundamentally change the basic research and medical practice of biomedicine, but at the same time, the explosive growth of data in the biomedical field poses new challenges for the storage and analysis of massive data. Processing these data requires a lot of computing resources, large-scale storage, efficient data transmission, and a secure and stable computing environment, and the emergence of cloud computing has solved these problems well.
In recent years, especially this year, Alibaba Cloud has made frequent efforts in the field of genes, which has made the industry look. According to industry experts, Alibaba Cloud's powerful batch computing capabilities bring a new genetic data analysis experience to the biological and medical fields. Users no longer need to purchase hardware, install configuration software, and master programming knowledge, freeing themselves from cumbersome IT facilities and data manipulation, with a focus on science itself.
Alibaba Cloud senior expert Lin Heshan said: "By combining Alibaba Cloud object storage, batch computing services can help bioinformatics experts quickly build large-scale genomics applications on the cloud. Users will be able to complete gene big data calculations more conveniently, simply and quickly. The cost is greatly reduced. Similarly, because of the empowerment of cloud computing, researchers have conducted large-scale genomics research to open the "gate of convenience," which will lead to a number of transformative outcomes that affect human health."
Talking about the revolutionary impact of cloud computing on the genetic field, at the gene-specific sub-forum of the Yunqi Conference, Li Daoyu, CEO of Judao Technology, said: "We are currently able to provide a cloud computing solution for the genetic field, including Transmission, storage, calculation, and subsequent analysis. For example, one of our customers collects a variety of infectious pathogen data across the country to determine which pathogenic microorganisms an infectious agent is caused by. This requires data processing capabilities. It can support the collaborative use of different regions. Once an infected person is found in a certain area, the infected microbial species will be known through testing and gene sequencing. We provide cloud services to help them quickly interpret the microbial genomic information and quickly adopt corresponding programs to control Measures. In terms of personal health issues, big data and cloud computing can facilitate genetic heritability analysis, help genetic disease research, predict the risk of offspring, and provide fertility medical advice."
The human genome consists of 3 billion pairs of bases, and the number of genes capable of encoding functional proteins is about 30,000, but this is only 3% of the entire genomic region, and more than 90% of the genome is functionally unknown. The interpretation of life requires not only continuous innovation in the field of life sciences, but also the support and participation in the field of computing. Hao Xiangwen, founder of Yimai Gene, said: "A decade ago, the industry began to collect a large number of population data to explore the relationship between genes and diseases. Once you understand the relationship between a disease and a certain gene, you can improve the accuracy of diagnosis from the genetic level. In addition, the genetic data combined with heart rate, blood pressure, blood sugar and even medical project data can correctly judge the health status of individuals. The positioning of a pulse gene is mainly the analysis, storage, interpretation, and related health of human genome data. Product development. In the process of doing this, we gradually realized that the use of cloud computing can not only reduce investment in the early stage, but also avoid the depreciation loss caused by the purchase of the server."
In the next decade, big data and artificial intelligence will change almost every industry, especially medical, cloud computing and artificial intelligence will be more in-depth mining of genetic data. In this regard, Guan Xin, director of the Internet Development Center of Huada, made a further explanation: “Genes and their research are closely related to the public, and they need huge amounts of data to solve problems and get results. When big data and artificial intelligence applications When it comes to the genetic industry, it can make the genetic industry take a fast breakthrough from the traditional experimental science. Now our understanding of many complex diseases, including the relationship between human expression and genetic data, requires a lot of sample size to verify. Even machine learning is required. If there is such big data technology and cloud computing, including artificial intelligence intervention, you can make a lot of results and develop many products."
Although gene sequencing has begun to affect and infiltrate our lives, in the public's impression, genetic sequencing is more inclined to “higher†healthy consumption, not the average public can pay, what the government needs to do to encourage Gene industry enterprises are moving towards "popularization."
Li Xia believes that what the government can do now is to do a good job of standardizing data security standards. In this respect, the United States is doing a better job. It has a series of standards to ensure its medical data and personal data. Storage and transmission, including the correct handling of personal privacy issues, in China, data security is still a vague concept, at the same time, each person has more than 20,000 genes, the detection attention will be different, the technology used, The chips are also different, so the current genetic testing is also inconsistent, which leads to confusion in the industry, and ultimately the cost of the genetic company is relatively high. If China can develop a systematic data security industry standard, it will effectively promote the enterprise. The cost is reduced, so that gene sequencing will become a share of the public.
It’s almost a year of Taobao’s “Double 11â€, and some time ago, Shigu reported that the Tmall Medical Center’s joint poly-costing and the nation’s seven major sperm banks have launched a donation online booking “poly cost-effectiveâ€. You can get 3000-5000 yuan donation subsidy, in addition to the welfare package of the major sperm banks, including 699 yuan paternity test, 199 yuan alcohol metabolism gene detection, such an affordable genetic test attracted a large Helping the male tube's enthusiastic response, Huada Gene, Judao Technology, and Yimai Gene also expressed their intention to promote products in Taobao Tmall, because Taobao is a very good e-commerce promotion channel, but can not be regarded as the only sales channel. And the ultimate goal, but also in the process of service, we must be very cautious, so that genetic testing is both popular and popular with the public.
Source: Medical Valley
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