Zheng Hongkun: Breaking the Mystery of Marine Genomics with the Instrument of Big Data

Guide: SLAF-seq to help marine life genome researchthe opening ceremony of Qingdao Baimeike Biotech Co., Ltdand the opening ceremony of the Big Data Research Center for Marine Biogenes was held in Huangdao District, QingdaoThis marks a new step in the field of marine scientific research, sailing in Qingdao, a coastal citythe author is very fortunate to be able to interview the founder and chairman of Baimeike MrZheng Hongkun, from the industrial and scientific research perspective simply described for us the establishment of marine biological genetics big data platform is the only way to continuously improve the oceanographic genomics researchAt the same time, in this process of improvement, the company not only has to play the role of a good participant, but also strive to become a pioneer explorer and leader in the direction of big data research in marine biological genetics's Dialogue on Production and Research: SLAF-seq contributes to the research of marine life genome
marine life is an important area of biological research, but also an important plate to solve the mystery of human originSince 1997, the United States has been conducting systematic genomic studies of marine organisms such as forefish, shrimp and oysters, and several marine cyanobacteria genome projects have been launchedAlthough China started late, but at present has also started the flat algae, spirulina, oysters, shrimp and other genomic projectsAs Xiang Jianhai said: Because of the large genome of marine life, high hemof, the difficulty of stitching has become the world's biggest problem of studying the marine life genomework to do good, we must first take the good of their instrumentsIn order to crack the genome code of Thenarin prawns to better cultivate prawns and realize their economic value and biological research value, MrXiang Jianhai began a new journey on the path of gene sequencingMany attempts to use second-generation sequencing technology have been impossible to complete the recombination of the genome map of shrimp, but by chance he found that SLAF-seq technology, developed by Baxter, could do wellThe pre-technical use of bioinformatics methods to systematically analyze the reference genome (or known BAC sequences) of the target species, design the marking development scheme, build the SLAF-seq library in the early stage, screen specific length fragments for high-throughput sequencing, and will get sLAF fragments of the target species to represent the target species So the production and research mutual assistance, the world's first Vannabin prawn genome map in China took the lead in the completion, and soon also in the international journal "scientific reports" published in this important achievement, has gained international recognition since then, the SLAF-seq technology developed by Peri-Meike has established an indispensable importance in the research of marine biological genetics co-construction and sharing: Gene big data platform to improve the utilization rate of public genes
data is an important basis for observing biological genetic information, the genetic data of different organisms can be said to be an indispensable strategic resource on the road of scientific research, but at present there is a lack of use of this resources or waste of resources Xiang Jianhai put forward his own suggestions: it is imperative to build a biobig data platform, which is essential for the development of marine biological genomics research In particular, how to co-build public data in the field of shared biology? How can you use data to constantly update iterations to improve biogenome mapping information? More importantly, how to turn data into productivity, serve the development of biological economy, how to turn data into scientific research power, serve the progress of biological research face these questions, the company put forward its own answer And the answer is to build a big data platform for marine biogenes Mr Zheng Hongkun, founder and chairman of Baimei, introduced us: Since the development of high-throughput gene sequencing more than a decade ago, the industry has accumulated a lot of data, but the public utilization of these data is not very high It is understood that in the face of massive data do not know where to start, effective data can not be professionally transformed into in order to hinder the use of genetic public data two mountains the problem is obvious, it is easy to solve it Mr Zheng Hongkun said: Let the database data available, so that the available data has the tools to reuse is the starting point of this big data platform how to build this big data platform, Mr Zheng Hongkun and his team have their own steps and ideas, he told Bioexploration reporters: First, we start with the scientific needs of marine biological information, to build a marine life multi-group database The database contains the data of various types of genomics, transcription groups, epigenetic groups, metabolomics, proteomics and other types of histology, and nets up the data needed for scientific research to provide researchers with multi-faceted, full coverage Here, it can not only help researchers reduce the waste of sequencing costs, but also improve the utilization of gene public data, and make efforts for data update iteration second, now that data is available, how can we dig deeper into the value behind it? We wanted to create an interactive platform similar to artificial intelligence, relying on massive amounts of genetic public data, and using Internet big data algorithms to provide advice and solutions for researchers For example, researchers have used sequencing to obtain some data on marine life, but it is not clear how they can help scientific research At this point, the interactive analysis of big data becomes a much-needed tool for scientific research It's like an artificial intelligence scientist, helping you interpret data, helping you find the right tools, and even thinking it can help you find a new breakthrough in research Genes plus: Industrialization supports the development of marine biological information industry
now, the formal establishment of the big data platform has become a new beginning, as to how the future development, Mr Zheng Hongkun also said that he will continue to rely on the "gene plus" diversified development concept, the study of marine biogenomics to a new climax But to adhere to this development concept, there are also many difficulties is first and foremost the loss of bio-information talent Mr Zheng Hongkun said: "Why is there no brain drain in the IT industry?" it's because of the industry's ability to support it With the continuous development of the industry, the industry value is constantly enriched, to the staff in this industry to settle and develop the confidence If i want to retain professional bioinformation talent, the way I can think of now is to keep them in the form of commercialization of the Internet For example, if the market needs a genome interpretation software, and it happens to be developed by our team of professionals, their efforts should be rewarded, and the reward can be money As more and more people use the software in the market, he will be able to get more returns, but also give him more confidence and motivation to continue to update the software iteration Through the commercialization model, there is a return on investment, continuous iteration, it is possible to develop it into a competitive market product The followed by the choice of business model Since it is necessary to retain talent in a commercial way, it is not possible to avoid talking about the platform's profit model During the meeting, many scientific researchers also suggested this as a free scientific research service platform, Mr Zheng Hongkun also expressed his views: "At present, our team's vision of the profit model may be very close to the Internet profit model, is to put it in a relatively long cycle to see." When you start putting it on the market, it may be a free trial model Because what we need is traffic and the user's sense of experience, let the user constantly give us advice to improve When our improvements reach a stable and sustainable state, what we need is the user's viscosity, that is, when the user really recognizes our service and value, it will be very willing to pay for our products "