In 1985, American scientists took the lead in proposing the Human Genome Project, and humans embarked on a journey of exploring their own mysteries. In 2006, the chromosome 1 gene was successfully sequenced , and the "book of life" for interpreting the human genetic code was completed. As a result, the new medical model based on genome sequencing, precision medicine , has gradually entered the public eye. US President Barack Obama launched the precision medical plan in the State of the Union speech at the beginning of this year. The first phase invested 215 million US dollars. It has already entered the golden age. However, the rapid development of the precision medical industry is based on a large amount of genetic data and a complete database, which requires a platform to centrally store the existing genetic data and to make it huge through independent and reliable big data algorithms. The data is analyzed by pairs of researchers who have valuable data analysis results. However, through traditional offline means, these data are mostly dependent on tools from collection to analysis. Experts, algorithms are needed, and programs need to be written, resulting in very slow genetic analysis, which causes great problems for scientific research and medical personnel. The best way to solve this problem is to build a gene big data cloud information center, using independent algorithms for personalized analysis, improve data analysis efficiency and accuracy. At present, the foreign gene data storage market has begun to take shape, and GCBI has received more and more attention as the first cloud gene platform in China. According to interviews with researchers and analysts, academic institutions and medical units have GCBI gene cloud. Given a high degree of recognition, it is expected to become a new platform for industry data analysis and sharing.
It is understood that GCBI is a cloud-based genetic information analysis platform developed by Shanghai Qiming Information Technology Co., Ltd. ("Qingming Company"). Recently, the company official said that the GCBI project has completed the 5 million RMB angel round of financing, the investor is Zhangjiang Torch Ventures from the national biomedical technology industrial base - Zhangjiang High-tech Industrial Development Zone. Its sales revenue reached RMB 20 million in 2014. The financing hopes to rapidly promote the industrial layout of gene cloud computing in China's precision medical field through cooperation with the capital market.
The time of a cup of coffee decides what medicine to take, this may not be a joke.
Previously, many media have paid attention to and reported on the GCBI gene cloud. The media called it a billion-dollar industry and vividly described its function as "the time for a cup of coffee to decide what to eat." So, what did GCBI do for this cup of coffee?
What is GCBI? The author was invited to log on to the GCBI platform, a very simple and clear search engine interface, at the far right of the interface, you can switch Chinese language. GCBI has more than 20TB of knowledge data inventory, which is the basis for its establishment of big data analysis. GCBI main interface is divided into three parts: GCBI-Pubmed, GCBI-Dictionary, GCBI-Sample: Pubmed is a free search engine for medical literature, which can help scholars find data more efficiently. GCBI-Dictionary is not just as simple as gene dictionary. It is telling the story of the gene. What role does this gene play in the human body? Which diseases are related to it, will be displayed one by one. It is worth mentioning that the latest research progress of a certain gene will be continuously updated in the genetic story. GCBI-Sample has 1.2 million genetic samples, which mainly record the electronic version of each sample, and the sample library grows at a rate of 56% per year. More Chinese sample information will be added in the future. Make the data more valuable and valuable to the carrier with more valuable clinical information and medication information.
How does GCBI do analysis? The analysis of genetic data, which took months and complicated time, can be done in a few minutes through GCBI online gene big data analysis. Under normal circumstances, after obtaining the sequencing data and chip data of individual cells and blood, medical personnel will outsource to third-party enterprises for data analysis. After the companies got the data, they analyzed it through various distributed software. To communicate and analyze the angles and methods between doctors and enterprises, companies also need data analysis experts, software and databases to increase time and energy costs. But if it's based on GCBI, this problem can be solved with just one mouse and keyboard. All the doctors have to do is upload the test data to GCBI. After half an hour, the results can be analyzed, and the results are accompanied by many related The genetic knowledge, which is the genetic story mentioned above, is simple and fast, and even a doctor who does not understand biological information can be familiar with it.
The gene cloud storage market has great potential and can be expected in the future.
Reuters said this year, Amazon and Google are eyeing the highly-recognized gene cloud storage industry, and analysts point out that by 2018, the market will reach $1 billion a year.
In fact, the main reason for the development of the gene cloud is the rise of personalized treatment, which is precision medicine. Taking the treatment and drug development of lung cancer as an example, the scientific research personnel of precision medicine will start from the genetic level of the pathology of lung cancer. After detecting a lung cancer sample, through data analysis, it is found that the expression of one of his genes leads to the emergence of another gene. The expression of the situation. At this time, the scientific research user will use the medical method or the drug under development to interfere with the gene according to the data result, and then test the gene on the sample again. After the data analysis, observe whether the gene has changed, so that you can know this. Whether medical means or drugs can cure the disease.
It is not difficult to see from this that the key core element of precision medicine is genetic information analysis, which requires a large amount of data to analyze the efficacy of different programs for different genes. The offline analysis of traditional means is not only time-consuming, but also scattered data, unable to concentrate, and waste of genetic information resources has become a constraint factor for the development of precision medicine. Through the construction of the gene cloud, researchers can share their own and use the genetic data of others to form big data, and create new opportunities that vary from person to person and difficult to treat.
GCBI has added more high-quality samples and drug databases with clinical data from the database side, and will build a China's largest genetic data sharing data platform in the future. These data will directly help clinicians to guide drug therapy and targeted therapy. The aspect plays a very big role.
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