As a young scientist of Huada Gene, Jin Xin has participated in a series of major scientific research projects, including the International Thousand Human Genome Project, the Zhongdan Diabetes Genome Project, the Human Panomegenetic Mapping Program, the Plateau Genome Project, and the Autism Genome Project. As early as 2009, Jin Xin published the "Building Human Genome Sequence Map" in the "Nature" publication "Nature Biotechnology" as a student, and proposed the concept of "human pan-genome" for the first time.
It seems that this is another dialogue with genius. The reporter was very nervous at first. And then in an interview that was close to an hour, the logic blame, the sharp point of view, and the ease of conversation between the conversations, Jin Xin is very interesting. Easy-going and rigorous, the two contradictory words are placed on him but there is no sense of violation.
Dr. Jin Xin, Deputy Director of Huada Gene Research and Development Center
Data Analysis: Cloud and Local Multidimensional Layout
In 2015, the BGI Online International Edition of the Huada Gene Genomics Data Analysis Platform was officially launched on AWS, followed by a domestic version on Alibaba Cloud in 2016. As the person in charge, Jin Xin witnessed the construction of BGI Online. In fact, as early as 2011, Huada Gene began to try the data grouping program on the cloud. However, because the construction of the public cloud in China was not mature at the time, as a pioneer, they took a lot of detours.
Since 2014, there has been great progress in the field of cloud technology. Aliyun, Huawei's IaaS service providers have risen rapidly. "The leadership of Huada feels that this thing can be done." Jin Xin recalled.
Data analysis involves the dimensional reduction process of genetic data, reducing the original data to a higher quality mutation list data. In the traditional solution, data calculation and dimension reduction are performed based on large computing devices and storage devices. When the amount of data increases until the existing architecture does not meet the computing needs, then the enterprise needs to purchase the equipment again. There are two issues involved. One is whether small businesses can afford the cost of equipment purchases, and the other is whether equipment purchases can keep up with the increase in data.
BGI Online has moved the dimension reduction and data links to the cloud and customized and personalized experiences at the analytics level. Jin Xin told reporters that traditional data analysis needs to be deployed on a local cluster and then installed and operated locally through the command line. BGI Online hides all cluster management through the front end. For front-end users, you can update the process and start analysis according to your needs with a simple mouse operation.
"On the one hand, it is to lower the threshold of data analysis itself, on the other hand, it can make users more convenient. It does not need to buy large equipment, and does not require complicated operations. It can be completed with a click of a mouse." Jin Xin told reporters.
In addition, over the years, Huada Gene has accumulated rich and diverse customers from pharmaceutical, scientific research, clinical and personal, and has a deep understanding of the needs of the market and customers, which have become the characteristics and advantages of BGI Online.
But then, Jin Xin’s words turned: “The cloud platform solves many problems, but in fact no solution is perfect. The cloud or the local direction has its own advantages. The Huada gene will go in these directions. layout."
According to Jin Xin, Huada Gene has deployed a localization solution integrated machine in dozens of the best hospitals in China. The clinical network interface and transmission speed of clinical hospitals may be limited. Many of the software involved in the intermediate link require registration and approval by the regulatory authorities. Therefore, the solution on the cloud may not be fully applicable. The all-in-one includes sequencing data analysis and report generation capabilities to meet the local and local analysis needs of clinical-level testing.
“For some clinical hospitals, this is a good solution,†he said.
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