Genome Desktop

June 13, 2014, the journal Science published an article titled "Big Biological Impacts from the big Data" written by the Science Promotion (AAAS) science and Technology publishing consultant, Mike May. In view of the large data as a current hotspot concept, this paper compiles the text. This paper first combs the three-level meaning of large data, and then analyzes and interprets these three meanings. Based on the increasing number of genomic data, many organizations are aware of the prospect of using large data ...

Biomedical data cover a wide range of areas related to human health: clinical Medicine, public health, pharmaceutical Research and development, medical markets and costs, individual behavior and emotions, human genetics and genomics, social demography, environment, health networks and media data.   Large data (Bigdata) is a dataset that cannot be crawled, managed, stored, retrieved, shared, transmitted, and analyzed by conventional software for a certain period of time due to its capacity too big and too complex. &n ...

From IBM's recent projects we can clearly feel that IBM is moving slowly and steadily into the cloud. IBM is interested in demonstrating the success stories of small-scale applications and cloud computing, and has demonstrated the application of cloud computing to infrastructure automation and virtual desktop Services to the public and the industry. Of course, it should be added that the public cloud service is also provided by IBM, but it has very few customers in this segment. For example, IBM is now assisting the Bari University in Italy to provide map and market data services to the ship industry ...

The understanding and treatment of disease requires a profound knowledge of human biology and diseased cells, until today, scientists want to obtain data to build normal cells and diseased cells model all need to do experiments, read the report, participate in the discussion meeting. But with technological breakthroughs and data collection becoming scalable, medical research will undergo a structural technological shift. A large amount of data combined with computers means that researchers will be able to access data that they cannot collect or remember, and clinics and labs will soon have a lot of data, treatment speed ...

The writer is Solvebio founder and Stanford Genetics Doctor, Twitter account @markkaganovich. The combination of science and technology gathering biological data and the large scale of computing will launch a medical revolution. 　　The understanding and treatment of disease requires a profound knowledge of human biology and diseased cells, until today, scientists want to obtain data to build normal cells and diseased cells model all need to do experiments, read the report, participate in the discussion meeting. However, with the breakthrough in technology, data collection can be expanded, medical research will be ...

Big data is probably the hottest technical term now. Heat means there is a bubble, there is a place worthy of reflection. Quartz's Christopher Mims May 6 published an article, called "Most of the data is not large, pretending that big data is actually a blind waste of money", justified, recommended first read. If you're not in the big data camp now, try to get some. After all, competition requires big data. If you have a small amount of data, you will be completely defeated by your competitors ...

Big data is probably the hottest technical term now. Heat means there is a bubble, there is a place worthy of reflection. Quartz's Christopher Mims May 6 published an article, called "Most of the data is not large, pretending that big data is actually a blind waste of money", justified, recommended first read. If you're not in the big data camp now, try to get some. After all, competition requires big data. If you have a small amount of data, you will be completely defeated by your competitors ...

Cloud Computing (cloudcomputing), http://www.aliyun.com/zixun/aggregation/13452.html "> Distributed computing Technology, its most basic concept, It is through the network to automatically split the huge computing process into countless smaller subroutines, and then to a number of servers composed of a large system after the search, calculation and analysis of the processing results back to the user. Through this technology, Web service providers can reach tens of millions of deals in seconds.