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It is obvious that the industries that are facing reshuffle and reorganization in the science and technology field include not only the so-called life science fields such as agrochemicals, medical care, and agrochemicals.
< < These are all relying on the value reconstruction of big data to bring a disruptive revolution to the entire industry.
< < In fact, even a piece of grass has genes, and they are % the same as those of us humans. A fly has % genes that are shared with humans. A fish has % of the same genes as humans, so much so that it is often cited. The mice used in life science experiments have shared up to % of their genes with humans, while gorillas have up to % of the same genes as us humans. When it comes to humans themselves, whether they are men, women, black or white (+ follow the online world on WeChat), the biological difference between humans is only .%.
< < < The only thing that is not exceptional in the life sciences is the exception. It will always happen. For example, the probability of fraternal twins born to a mother who look very similar but have different skin colors is only one in a few million. Such mutations make our genes become more and more abundant and diverse, and also make each person's genes have that .% difference. Perhaps one day, as genome testing and analysis becomes easier and cheaper, you can compare your genes with your friends on social software and tell which genes are good and which genes are weak.
< < This is the value of data. Big data can help us end many diseases. For example, from the data, we can find traces of tumors during pregnancy. We can also compare the molecular epidemiology database of genetic diseases to find the spectrum distribution of r mutation sites, thereby effectively controlling the occurrence of tumors and cancer. Big data It can also help us change the intestinal flora ecology in our body so that we can recover from obesity.
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